The ImageJ ecosystem: An open platform for biomedical image analysis

SUMMARY Technology in microscopy advances rapidly, enabling increasingly affordable, faster, and more precise quantitative biomedical imaging, which necessitates correspondingly more‐advanced image processing and analysis techniques. A wide range of software is available—from commercial to academic,...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Molecular reproduction and development Ročník 82; číslo 7-8; s. 518 - 529
Hlavní autori:	Schindelin, Johannes, Rueden, Curtis T., Hiner, Mark C., Eliceiri, Kevin W.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Blackwell Publishing Ltd 01.07.2015 Wiley Subscription Services, Inc
Predmet:	Humans Image Processing, Computer-Assisted - instrumentation Image Processing, Computer-Assisted - methods Microscopy Optical Imaging Software
ISSN:	1040-452X, 1098-2795
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Abstract	SUMMARY Technology in microscopy advances rapidly, enabling increasingly affordable, faster, and more precise quantitative biomedical imaging, which necessitates correspondingly more‐advanced image processing and analysis techniques. A wide range of software is available—from commercial to academic, special‐purpose to Swiss army knife, small to large—but a key characteristic of software that is suitable for scientific inquiry is its accessibility. Open‐source software is ideal for scientific endeavors because it can be freely inspected, modified, and redistributed; in particular, the open‐software platform ImageJ has had a huge impact on the life sciences, and continues to do so. From its inception, ImageJ has grown significantly due largely to being freely available and its vibrant and helpful user community. Scientists as diverse as interested hobbyists, technical assistants, students, scientific staff, and advanced biology researchers use ImageJ on a daily basis, and exchange knowledge via its dedicated mailing list. Uses of ImageJ range from data visualization and teaching to advanced image processing and statistical analysis. The software's extensibility continues to attract biologists at all career stages as well as computer scientists who wish to effectively implement specific image‐processing algorithms. In this review, we use the ImageJ project as a case study of how open‐source software fosters its suites of software tools, making multitudes of image‐analysis technology easily accessible to the scientific community. We specifically explore what makes ImageJ so popular, how it impacts the life sciences, how it inspires other projects, and how it is self‐influenced by coevolving projects within the ImageJ ecosystem. Mol. Reprod. Dev. 82: 518–529, 2015. © 2015 Wiley Periodicals, Inc.
AbstractList	Technology in microscopy advances rapidly, enabling increasingly affordable, faster, and more precise quantitative biomedical imaging, which necessitates correspondingly more-advanced image processing and analysis techniques. A wide range of software is available-from commercial to academic, special-purpose to Swiss army knife, small to large-but a key characteristic of software that is suitable for scientific inquiry is its accessibility. Open-source software is ideal for scientific endeavors because it can be freely inspected, modified, and redistributed; in particular, the open-software platform ImageJ has had a huge impact on the life sciences, and continues to do so. From its inception, ImageJ has grown significantly due largely to being freely available and its vibrant and helpful user community. Scientists as diverse as interested hobbyists, technical assistants, students, scientific staff, and advanced biology researchers use ImageJ on a daily basis, and exchange knowledge via its dedicated mailing list. Uses of ImageJ range from data visualization and teaching to advanced image processing and statistical analysis. The software's extensibility continues to attract biologists at all career stages as well as computer scientists who wish to effectively implement specific image-processing algorithms. In this review, we use the ImageJ project as a case study of how open-source software fosters its suites of software tools, making multitudes of image-analysis technology easily accessible to the scientific community. We specifically explore what makes ImageJ so popular, how it impacts the life sciences, how it inspires other projects, and how it is self-influenced by coevolving projects within the ImageJ ecosystem. SUMMARY Technology in microscopy advances rapidly, enabling increasingly affordable, faster, and more precise quantitative biomedical imaging, which necessitates correspondingly more‐advanced image processing and analysis techniques. A wide range of software is available—from commercial to academic, special‐purpose to Swiss army knife, small to large—but a key characteristic of software that is suitable for scientific inquiry is its accessibility. Open‐source software is ideal for scientific endeavors because it can be freely inspected, modified, and redistributed; in particular, the open‐software platform ImageJ has had a huge impact on the life sciences, and continues to do so. From its inception, ImageJ has grown significantly due largely to being freely available and its vibrant and helpful user community. Scientists as diverse as interested hobbyists, technical assistants, students, scientific staff, and advanced biology researchers use ImageJ on a daily basis, and exchange knowledge via its dedicated mailing list. Uses of ImageJ range from data visualization and teaching to advanced image processing and statistical analysis. The software's extensibility continues to attract biologists at all career stages as well as computer scientists who wish to effectively implement specific image‐processing algorithms. In this review, we use the ImageJ project as a case study of how open‐source software fosters its suites of software tools, making multitudes of image‐analysis technology easily accessible to the scientific community. We specifically explore what makes ImageJ so popular, how it impacts the life sciences, how it inspires other projects, and how it is self‐influenced by coevolving projects within the ImageJ ecosystem. Mol. Reprod. Dev. 82: 518–529, 2015. © 2015 Wiley Periodicals, Inc. Technology in microscopy advances rapidly, enabling increasingly affordable, faster, and more precise quantitative biomedical imaging, which necessitates correspondingly more-advanced image processing and analysis techniques. A wide range of software is available – from commercial to academic, special-purpose to Swiss army knife, small to large–but a key characteristic of software that is suitable for scientific inquiry is its accessibility. Open-source software is ideal for scientific endeavors because it can be freely inspected, modified, and redistributed; in particular, the open-software platform ImageJ has had a huge impact on life sciences, and continues to do so. From its inception, ImageJ has grown significantly due largely to being freely available and its vibrant and helpful user community. Scientists as diverse as interested hobbyists, technical assistants, students, scientific staff, and advanced biology researchers use ImageJ on a daily basis, and exchange knowledge via its dedicated mailing list. Uses of ImageJ range from data visualization and teaching to advanced image processing and statistical analysis. The software's extensibility continues to attract biologists at all career stages as well as computer scientists who wish to effectively implement specific image-processing algorithms. In this review, we use the ImageJ project as a case study of how open-source software fosters its suites of software tools, making multitudes of image-analysis technology easily accessible to the scientific community. We specifically explore what makes ImageJ so popular, how it impacts life science, how it inspires other projects, and how it is self-influenced by coevolving projects within the ImageJ ecosystem. SUMMARY Technology in microscopy advances rapidly, enabling increasingly affordable, faster, and more precise quantitative biomedical imaging, which necessitates correspondingly more-advanced image processing and analysis techniques. A wide range of software is available--from commercial to academic, special-purpose to Swiss army knife, small to large--but a key characteristic of software that is suitable for scientific inquiry is its accessibility. Open-source software is ideal for scientific endeavors because it can be freely inspected, modified, and redistributed; in particular, the open-software platform ImageJ has had a huge impact on the life sciences, and continues to do so. From its inception, ImageJ has grown significantly due largely to being freely available and its vibrant and helpful user community. Scientists as diverse as interested hobbyists, technical assistants, students, scientific staff, and advanced biology researchers use ImageJ on a daily basis, and exchange knowledge via its dedicated mailing list. Uses of ImageJ range from data visualization and teaching to advanced image processing and statistical analysis. The software's extensibility continues to attract biologists at all career stages as well as computer scientists who wish to effectively implement specific image-processing algorithms. In this review, we use the ImageJ project as a case study of how open-source software fosters its suites of software tools, making multitudes of image-analysis technology easily accessible to the scientific community. We specifically explore what makes ImageJ so popular, how it impacts the life sciences, how it inspires other projects, and how it is self-influenced by coevolving projects within the ImageJ ecosystem. Mol. Reprod. Dev. 82: 518-529, 2015. © 2015 Wiley Periodicals, Inc.
Author	Hiner, Mark C. Schindelin, Johannes Eliceiri, Kevin W. Rueden, Curtis T.
Author_xml	– sequence: 1 givenname: Johannes surname: Schindelin fullname: Schindelin, Johannes organization: Laboratory for Optical and Computational Instrumentation, University of Wisconsin at Madison, Wisconsin, Madison – sequence: 2 givenname: Curtis T. surname: Rueden fullname: Rueden, Curtis T. organization: Laboratory for Optical and Computational Instrumentation, University of Wisconsin at Madison, Wisconsin, Madison – sequence: 3 givenname: Mark C. surname: Hiner fullname: Hiner, Mark C. organization: Laboratory for Optical and Computational Instrumentation, University of Wisconsin at Madison, Wisconsin, Madison – sequence: 4 givenname: Kevin W. surname: Eliceiri fullname: Eliceiri, Kevin W. email: Corresponding author:Laboratory for Optical and Computational Instrumentation, Room 271 Animal Sciences, 1675 Observatory Drive, University of Wisconsin at Madison, Madison, WI 53706 USA. , eliceiri@wisc.edu organization: Laboratory for Optical and Computational Instrumentation, University of Wisconsin at Madison, Wisconsin, Madison
BackLink	https://www.ncbi.nlm.nih.gov/pubmed/26153368$$D View this record in MEDLINE/PubMed
BookMark	eNp9kV1PFDEYhRuDkS8v_AOmiTdyMdCv6bRemCALiKImBgN3TbftQKEzXdtZcP-9HRc2QqI3bZP3OSfn7dkEa33sHQCvMNrFCJG9LtldQpiQz8AGRlJUpJH12vhmqGI1uVgHmzlfI4SkFOgFWCcc15RysQEmZ1cOnnT60n2CzsS8yIPr3sH9HsaZ6-Es6KGNqYPlgFMfO2e90QH6UQF1r8Mi-7wNnrc6ZPfy_t4CP44Ozw4-Vqffjk8O9k8rw3EjK0K04cy2WhBiBZuKRlBhmWgZnTrOWoucRK0TBhErLWYWEdFiToytqbSE0C3wfuk7m09LEuP6IemgZqnESQsVtVePJ72_UpfxVtWMCClYMXh7b5Diz7nLg-p8Ni4E3bs4zwpzKSRveDOib56g13GeysJLChGGKS_U678TraI8fHABdpaASTHn5NoVgpEay1OlPPWnvMLuPWGNH_Tg47iMD_9T3PngFv-2Vl--Tx4U1VLhS9G_VgqdbhRvaFOr86_HavLh8_kRuhBqQn8DIVq5VA
CODEN	MREDEE
CitedBy_id	crossref_primary_10_1038_s41598_018_24908_9 crossref_primary_10_3389_fphys_2022_834328 crossref_primary_10_1002_mrd_23346 crossref_primary_10_1016_j_marpolbul_2020_111587 crossref_primary_10_1091_mbc_E21_10_0496 crossref_primary_10_1093_jcbiol_ruae016 crossref_primary_10_1016_j_biomaterials_2017_10_051 crossref_primary_10_1016_j_carbon_2017_09_006 crossref_primary_10_1016_j_jallcom_2022_164160 crossref_primary_10_1093_icb_icab051 crossref_primary_10_3389_fbioe_2017_00027 crossref_primary_10_1111_nph_19649 crossref_primary_10_1038_s41598_018_27613_9 crossref_primary_10_1016_j_ijcard_2021_04_053 crossref_primary_10_1017_S0025315423000565 crossref_primary_10_1158_0008_5472_CAN_20_2352 crossref_primary_10_1128_JB_00654_19 crossref_primary_10_3389_fmicb_2019_02438 crossref_primary_10_1093_hmg_ddy234 crossref_primary_10_1016_j_intimp_2024_111662 crossref_primary_10_1007_s00418_023_02204_6 crossref_primary_10_1007_s11664_018_6178_9 crossref_primary_10_1039_D4CY00032C crossref_primary_10_1088_1555_6611_ab5945 crossref_primary_10_1016_j_jor_2020_04_012 crossref_primary_10_1016_j_fuel_2019_02_115 crossref_primary_10_1016_j_meegid_2021_104768 crossref_primary_10_1002_cyto_a_24896 crossref_primary_10_1242_dmm_029678 crossref_primary_10_1002_mnfr_201800014 crossref_primary_10_1061__ASCE_GT_1943_5606_0002065 crossref_primary_10_1007_s10750_022_04995_6 crossref_primary_10_3390_jfmk3010002 crossref_primary_10_1155_2023_1693332 crossref_primary_10_1111_mmi_13157 crossref_primary_10_3390_ijerph17113871 crossref_primary_10_1111_rec_14275 crossref_primary_10_1016_j_heliyon_2024_e32241 crossref_primary_10_1007_s00330_022_09162_y crossref_primary_10_1016_j_expneurol_2017_10_006 crossref_primary_10_1038_s41598_019_39217_y crossref_primary_10_1038_s41467_018_05202_8 crossref_primary_10_1038_s41598_017_01559_w crossref_primary_10_1038_s41598_021_93184_x crossref_primary_10_1017_S2633903X21000039 crossref_primary_10_1155_2018_1048317 crossref_primary_10_1038_s41467_019_13802_1 crossref_primary_10_1186_s13046_019_1425_3 crossref_primary_10_1073_pnas_2411492122 crossref_primary_10_1016_j_cag_2020_05_024 crossref_primary_10_1016_j_ygcen_2021_113886 crossref_primary_10_1007_s11837_019_03952_4 crossref_primary_10_1016_j_biocel_2017_01_012 crossref_primary_10_1016_j_jprot_2019_103423 crossref_primary_10_1111_1365_2435_13049 crossref_primary_10_1007_s00417_025_06975_7 crossref_primary_10_1038_s41438_021_00584_1 crossref_primary_10_1242_jcs_224493 crossref_primary_10_1111_1751_7915_14480 crossref_primary_10_1002_mp_16232 crossref_primary_10_1016_j_colsurfa_2018_06_063 crossref_primary_10_1128_JVI_02358_20 crossref_primary_10_1111_nyas_15176 crossref_primary_10_3390_molecules26020387 crossref_primary_10_1016_j_molbiopara_2023_111574 crossref_primary_10_1016_j_biopha_2024_117290 crossref_primary_10_21015_vtse_v11i2_1470 crossref_primary_10_1038_s41467_025_60709_1 crossref_primary_10_1016_j_exer_2017_10_017 crossref_primary_10_1016_j_ultramic_2025_114121 crossref_primary_10_1186_s12932_019_0064_0 crossref_primary_10_1016_j_rvsc_2021_01_002 crossref_primary_10_1002_mp_14046 crossref_primary_10_1007_s00330_019_06279_5 crossref_primary_10_2134_agronj2018_08_0502 crossref_primary_10_3390_en12122368 crossref_primary_10_1109_JSEN_2018_2861700 crossref_primary_10_1186_s40662_022_00292_4 crossref_primary_10_1128_spectrum_01580_24 crossref_primary_10_5624_isd_20250123 crossref_primary_10_3390_diagnostics13142379 crossref_primary_10_1038_s41589_022_00995_8 crossref_primary_10_1016_j_matdes_2017_10_014 crossref_primary_10_1371_journal_pone_0182531 crossref_primary_10_1016_j_cell_2024_05_025 crossref_primary_10_1111_ejn_13713 crossref_primary_10_1111_ppa_13247 crossref_primary_10_1016_j_placenta_2017_09_013 crossref_primary_10_1016_j_procs_2024_09_443 crossref_primary_10_1016_j_stress_2025_100770 crossref_primary_10_1111_jocd_13058 crossref_primary_10_3390_jof10120873 crossref_primary_10_1016_j_rse_2020_111828 crossref_primary_10_3389_fnagi_2023_1306004 crossref_primary_10_1021_acsnano_5c05801 crossref_primary_10_1111_edt_12607 crossref_primary_10_1017_S143192761601117X crossref_primary_10_1680_jgeot_16_P_147 crossref_primary_10_1007_s11042_023_16461_z crossref_primary_10_1002_jcp_29463 crossref_primary_10_3390_technologies13030110 crossref_primary_10_1038_s41598_017_13416_x crossref_primary_10_1016_j_neuropharm_2020_107951 crossref_primary_10_1016_j_dadr_2023_100180 crossref_primary_10_1038_s41598_022_11137_4 crossref_primary_10_1111_jmi_13176 crossref_primary_10_1007_s00338_021_02169_9 crossref_primary_10_1111_1365_2435_70058 crossref_primary_10_1080_01932691_2024_2399136 crossref_primary_10_3390_ncrna6010008 crossref_primary_10_1093_nar_gkac309 crossref_primary_10_1073_pnas_1613446113 crossref_primary_10_1016_j_crmeth_2021_100044 crossref_primary_10_1371_journal_pone_0247950 crossref_primary_10_1111_pbi_13709 crossref_primary_10_1139_cjz_2019_0295 crossref_primary_10_3390_ijms20215337 crossref_primary_10_1002_mrm_27018 crossref_primary_10_1111_gcbb_12438 crossref_primary_10_3389_fphys_2021_735932 crossref_primary_10_1002_ange_202510312 crossref_primary_10_1007_s00221_018_5209_3 crossref_primary_10_1016_j_ajpath_2016_11_002 crossref_primary_10_1371_journal_pcbi_1009153 crossref_primary_10_1016_j_nmni_2017_11_003 crossref_primary_10_1016_j_microc_2025_114292 crossref_primary_10_1002_bit_27621 crossref_primary_10_3389_fncel_2022_896172 crossref_primary_10_1097_MD_0000000000023373 crossref_primary_10_1186_s12885_025_14717_5 crossref_primary_10_1016_j_optlastec_2020_106651 crossref_primary_10_1002_jemt_24372 crossref_primary_10_1002_mbo3_902 crossref_primary_10_1016_j_bbapap_2018_05_013 crossref_primary_10_1083_jcb_202304075 crossref_primary_10_1038_s41467_019_11120_0 crossref_primary_10_1111_tpj_15717 crossref_primary_10_1016_j_colsurfb_2019_110402 crossref_primary_10_1038_s41477_022_01328_2 crossref_primary_10_1155_2020_8848945 crossref_primary_10_1073_pnas_2302814120 crossref_primary_10_1186_s41747_023_00408_y crossref_primary_10_1016_j_gie_2023_12_022 crossref_primary_10_1016_j_exer_2016_04_010 crossref_primary_10_1002_cnm_3352 crossref_primary_10_1002_ece3_71380 crossref_primary_10_1016_j_heares_2018_07_004 crossref_primary_10_1111_jfb_14410 crossref_primary_10_1177_15593258241251594 crossref_primary_10_1051_0004_6361_201936144 crossref_primary_10_3390_polym15020369 crossref_primary_10_3389_fnmol_2017_00322 crossref_primary_10_1111_php_13003 crossref_primary_10_1155_2019_5376165 crossref_primary_10_1111_1462_2920_14348 crossref_primary_10_1038_srep42231 crossref_primary_10_1177_21925682221095467 crossref_primary_10_1016_j_actamat_2019_08_005 crossref_primary_10_1139_cjm_2020_0187 crossref_primary_10_3390_ijms18040760 crossref_primary_10_1007_s00271_024_00915_9 crossref_primary_10_1016_j_jbc_2023_104947 crossref_primary_10_1002_jcb_26675 crossref_primary_10_1016_j_spinee_2016_10_022 crossref_primary_10_1016_j_scitotenv_2019_02_220 crossref_primary_10_1111_gcb_14014 crossref_primary_10_1371_journal_pone_0284905 crossref_primary_10_1039_D0NR08973G crossref_primary_10_1016_j_scitotenv_2019_135091 crossref_primary_10_3897_jhr_60_13692 crossref_primary_10_3389_fcomp_2021_774396 crossref_primary_10_3389_fnut_2022_866048 crossref_primary_10_3389_fpls_2023_1225635 crossref_primary_10_1186_s12964_017_0213_y crossref_primary_10_1038_s41467_024_54772_3 crossref_primary_10_1016_j_bbr_2022_114268 crossref_primary_10_1186_s40850_023_00180_x crossref_primary_10_1038_s41467_022_32180_9 crossref_primary_10_1111_ppl_13510 crossref_primary_10_1016_j_compbiomed_2025_110012 crossref_primary_10_1002_ase_1682 crossref_primary_10_1038_s43587_024_00671_7 crossref_primary_10_1111_mmi_14457 crossref_primary_10_1038_s41587_020_0472_9 crossref_primary_10_1093_femsyr_foaf011 crossref_primary_10_1016_j_chemgeo_2023_121637 crossref_primary_10_1038_s41467_025_59943_4 crossref_primary_10_1016_j_gene_2020_144681 crossref_primary_10_1136_bjo_2023_323308 crossref_primary_10_1038_s41598_017_13741_1 crossref_primary_10_1002_adma_201907966 crossref_primary_10_3389_fpls_2022_862813 crossref_primary_10_1038_s41598_017_18797_7 crossref_primary_10_1111_tra_12637 crossref_primary_10_1038_s41598_021_82950_6 crossref_primary_10_1038_s41598_017_08577_8 crossref_primary_10_3390_polym10010054 crossref_primary_10_3389_fnbeh_2022_819146 crossref_primary_10_1083_jcb_201703061 crossref_primary_10_3389_fpls_2019_00112 crossref_primary_10_1016_j_vph_2022_106976 crossref_primary_10_1080_02508281_2023_2173930 crossref_primary_10_1002_adbi_202000047 crossref_primary_10_1371_journal_pone_0247968 crossref_primary_10_1016_j_envpol_2018_06_026 crossref_primary_10_1016_j_marpetgeo_2024_107083 crossref_primary_10_1186_s40708_022_00158_4 crossref_primary_10_1016_j_devcel_2023_07_013 crossref_primary_10_1016_j_envsoft_2023_105707 crossref_primary_10_1016_j_optlastec_2024_110611 crossref_primary_10_1186_s12890_020_1113_2 crossref_primary_10_1186_s13287_024_03889_9 crossref_primary_10_1038_s41590_020_0719_0 crossref_primary_10_1016_j_bbi_2019_06_021 crossref_primary_10_1016_j_ultramic_2017_10_006 crossref_primary_10_1016_j_ces_2020_115817 crossref_primary_10_1177_1073274817752332 crossref_primary_10_7554_eLife_89231 crossref_primary_10_1039_D4BM00381K crossref_primary_10_1111_aor_13142 crossref_primary_10_1016_j_geodrs_2023_e00606 crossref_primary_10_1055_a_1401_5014 crossref_primary_10_1111_tpj_17179 crossref_primary_10_1242_dev_187666 crossref_primary_10_1007_s00170_018_1958_1 crossref_primary_10_1016_j_jneumeth_2020_109038 crossref_primary_10_1038_s41598_022_12367_2 crossref_primary_10_1186_s12987_020_00234_z crossref_primary_10_1369_00221554231170662 crossref_primary_10_1016_j_jsbmb_2021_105974 crossref_primary_10_1016_j_bbadis_2018_09_016 crossref_primary_10_1016_j_jconrel_2020_08_048 crossref_primary_10_15252_embj_201694574 crossref_primary_10_1016_j_soilbio_2025_109982 crossref_primary_10_3390_photonics10070793 crossref_primary_10_1038_s41388_020_01468_9 crossref_primary_10_1016_j_jaap_2019_03_003 crossref_primary_10_1159_000540103 crossref_primary_10_1007_s00018_017_2704_9 crossref_primary_10_1038_s41467_017_02505_0 crossref_primary_10_1016_j_jmapro_2023_10_078 crossref_primary_10_1016_j_xpro_2024_103100 crossref_primary_10_1002_2211_5463_13060 crossref_primary_10_3390_ijms22083845 crossref_primary_10_1128_JVI_01300_17 crossref_primary_10_1016_j_jclepro_2021_126766 crossref_primary_10_1016_j_aquaculture_2023_739552 crossref_primary_10_3389_fgene_2022_811849 crossref_primary_10_1128_JB_00065_18 crossref_primary_10_7717_peerj_18295 crossref_primary_10_1038_s42003_021_01939_z crossref_primary_10_1016_j_devcel_2019_07_021 crossref_primary_10_1242_dev_202926 crossref_primary_10_1109_TRPMS_2018_2847227 crossref_primary_10_1182_bloodadvances_2017012211 crossref_primary_10_1007_s11120_017_0401_z crossref_primary_10_1063_5_0105072 crossref_primary_10_3389_fphar_2023_1123700 crossref_primary_10_3390_ijms23073541 crossref_primary_10_1016_j_mineng_2019_106176 crossref_primary_10_1038_s41598_025_93853_1 crossref_primary_10_1007_s11837_022_05320_1 crossref_primary_10_3390_ijms24032451 crossref_primary_10_2119_molmed_2016_00041 crossref_primary_10_1016_j_jobe_2024_109919 crossref_primary_10_1186_s12575_018_0072_y crossref_primary_10_1371_journal_pone_0241788 crossref_primary_10_1016_j_plantsci_2017_06_007 crossref_primary_10_1016_j_conbuildmat_2018_05_200 crossref_primary_10_1134_S2079978021010064 crossref_primary_10_3390_geosciences13060175 crossref_primary_10_1111_jmi_12686 crossref_primary_10_3390_cancers13225809 crossref_primary_10_3139_120_111129 crossref_primary_10_1007_s00705_025_06282_w crossref_primary_10_1016_j_optlastec_2024_111505 crossref_primary_10_1371_journal_pcbi_1006054 crossref_primary_10_1089_zeb_2018_1683 crossref_primary_10_1111_jmi_12680 crossref_primary_10_3389_fonc_2025_1604413 crossref_primary_10_1038_s41467_025_60940_w crossref_primary_10_1016_j_ajhg_2016_12_010 crossref_primary_10_1038_nprot_2018_040 crossref_primary_10_1038_s41467_017_01848_y crossref_primary_10_1016_j_micron_2022_103395 crossref_primary_10_3389_fpls_2020_609600 crossref_primary_10_1038_s41467_023_41241_6 crossref_primary_10_1016_j_cemconres_2024_107555 crossref_primary_10_1093_jme_tjx111 crossref_primary_10_1007_s00216_017_0625_y crossref_primary_10_31083_j_jmcm_2018_02_007 crossref_primary_10_1007_s11356_025_36035_w crossref_primary_10_3389_fnana_2018_00037 crossref_primary_10_1016_j_corsci_2021_109315 crossref_primary_10_1186_s12917_018_1521_1 crossref_primary_10_1007_s40858_024_00688_8 crossref_primary_10_3390_agronomy12061419 crossref_primary_10_1111_nph_16976 crossref_primary_10_18632_oncotarget_23618 crossref_primary_10_1016_j_bbadis_2016_06_013 crossref_primary_10_1111_1758_2229_70190 crossref_primary_10_1080_01977261_2019_1589926 crossref_primary_10_3390_biom11101476 crossref_primary_10_3390_met14050530 crossref_primary_10_1080_09670262_2019_1624832 crossref_primary_10_1016_j_ecss_2024_108904 crossref_primary_10_1007_s11483_024_09866_2 crossref_primary_10_1016_j_jinorgbio_2017_06_012 crossref_primary_10_1111_1751_7915_70112 crossref_primary_10_1016_j_cscm_2025_e05175 crossref_primary_10_1038_s44319_024_00246_y crossref_primary_10_1371_journal_ppat_1007921 crossref_primary_10_1002_oby_22560 crossref_primary_10_1016_j_conbuildmat_2023_131978 crossref_primary_10_1128_IAI_00480_19 crossref_primary_10_1111_mmi_14851 crossref_primary_10_3389_fimmu_2021_678873 crossref_primary_10_1007_s00442_021_05077_5 crossref_primary_10_1016_j_jaad_2021_09_063 crossref_primary_10_1038_s41598_018_20938_5 crossref_primary_10_1038_s41598_017_11412_9 crossref_primary_10_1002_jbio_202200245 crossref_primary_10_1016_j_lfs_2024_122543 crossref_primary_10_1186_s13024_016_0110_7 crossref_primary_10_1002_ece3_8137 crossref_primary_10_3390_genes10090705 crossref_primary_10_3389_fcomp_2020_00008 crossref_primary_10_1097_SHK_0000000000001037 crossref_primary_10_3389_fcell_2019_00216 crossref_primary_10_1186_s13567_017_0494_6 crossref_primary_10_1038_s41598_018_30834_7 crossref_primary_10_3389_ti_2023_11046 crossref_primary_10_2478_agri_2018_0017 crossref_primary_10_1038_s41559_017_0301_9 crossref_primary_10_7554_eLife_56627 crossref_primary_10_1038_srep34705 crossref_primary_10_1016_j_ijheatmasstransfer_2019_118885 crossref_primary_10_1111_nph_70426 crossref_primary_10_3390_cancers12071806 crossref_primary_10_1002_lipd_12435 crossref_primary_10_1016_j_isci_2024_109918 crossref_primary_10_1177_0271678X17732275 crossref_primary_10_1039_C8CC02256A crossref_primary_10_1016_j_biomaterials_2016_11_023 crossref_primary_10_1016_j_pmpp_2023_102208 crossref_primary_10_1093_jac_dkab305 crossref_primary_10_3390_insects13070566 crossref_primary_10_3389_fphy_2021_674928 crossref_primary_10_1016_j_powtec_2025_120867 crossref_primary_10_1111_jfd_13601 crossref_primary_10_1074_jbc_RA117_000197 crossref_primary_10_1067_j_cpradiol_2020_02_005 crossref_primary_10_1007_s11042_023_17936_9 crossref_primary_10_1515_bot_2017_0126 crossref_primary_10_1002_adem_201600854 crossref_primary_10_1016_j_fbio_2022_101828 crossref_primary_10_1016_j_biomaterials_2017_03_026 crossref_primary_10_1007_s00359_017_1227_z crossref_primary_10_1016_j_imu_2018_12_002 crossref_primary_10_1007_s00068_019_01159_5 crossref_primary_10_3390_fib12120111 crossref_primary_10_3390_agronomy12112840 crossref_primary_10_1007_s00442_020_04648_2 crossref_primary_10_1128_msystems_00261_25 crossref_primary_10_1038_s41598_021_87910_8 crossref_primary_10_1002_cyto_a_23172 crossref_primary_10_1371_journal_pone_0276823 crossref_primary_10_1371_journal_pgen_1007301 crossref_primary_10_1038_s41598_025_09244_z crossref_primary_10_1002_lno_11902 crossref_primary_10_1134_S1990519X17030026 crossref_primary_10_1016_j_fuel_2018_07_030 crossref_primary_10_1016_j_apacoust_2017_12_002 crossref_primary_10_1016_j_ejmech_2023_115755 crossref_primary_10_1016_j_mechmachtheory_2016_11_010 crossref_primary_10_1002_tpg2_20293 crossref_primary_10_3390_ijms22168588 crossref_primary_10_3389_fphys_2017_00106 crossref_primary_10_1016_j_jneumeth_2019_04_009 crossref_primary_10_1371_journal_pone_0308297 crossref_primary_10_1128_AAC_00811_16 crossref_primary_10_5194_bg_13_6545_2016 crossref_primary_10_17660_th2017_72_3_4 crossref_primary_10_3390_ijms22179249 crossref_primary_10_1016_j_ymben_2018_11_001 crossref_primary_10_1016_j_matpr_2018_11_113 crossref_primary_10_1186_s12891_022_05575_4 crossref_primary_10_1038_s41598_018_35792_8 crossref_primary_10_1139_cjz_2018_0107 crossref_primary_10_3389_fchem_2018_00191 crossref_primary_10_1016_j_jenvman_2024_120352 crossref_primary_10_1038_s41467_017_02103_0 crossref_primary_10_1007_s00401_018_1902_3 crossref_primary_10_3390_s19102255 crossref_primary_10_1016_j_ceramint_2020_04_104 crossref_primary_10_1186_s12866_021_02393_x crossref_primary_10_1093_plphys_kiac550 crossref_primary_10_1096_fj_201700868RRR crossref_primary_10_1016_j_matbio_2019_11_001 crossref_primary_10_1038_s41431_021_00907_9 crossref_primary_10_3389_fmars_2023_1290625 crossref_primary_10_3389_fcimb_2017_00268 crossref_primary_10_1093_carcin_bgz038 crossref_primary_10_1063_5_0019541 crossref_primary_10_46670_JSST_2022_31_1_6 crossref_primary_10_1016_j_scitotenv_2021_149153 crossref_primary_10_3390_ph10010013 crossref_primary_10_3390_agriculture13091690 crossref_primary_10_1038_srep38681 crossref_primary_10_1111_mec_15279 crossref_primary_10_1186_s13024_020_00387_3 crossref_primary_10_1016_j_yexcr_2018_05_015 crossref_primary_10_1002_ece3_9844 crossref_primary_10_1038_s41467_025_56974_9 crossref_primary_10_1088_1681_7575_aaa368 crossref_primary_10_1007_s00410_022_01894_w crossref_primary_10_1111_jerd_13195 crossref_primary_10_3390_ijms21218222 crossref_primary_10_1371_journal_pone_0271593 crossref_primary_10_1002_jbt_70059 crossref_primary_10_1002_cre2_770 crossref_primary_10_1111_nph_70009 crossref_primary_10_1371_journal_ppat_1010258 crossref_primary_10_1016_j_jchromb_2017_11_038 crossref_primary_10_33042_2311_7257_2025_112_1_52 crossref_primary_10_1016_j_bbr_2016_09_044 crossref_primary_10_1172_JCI143861 crossref_primary_10_1038_s41467_020_16018_w crossref_primary_10_1177_0309324717748097 crossref_primary_10_1016_j_scitotenv_2017_05_276 crossref_primary_10_1002_app_47384 crossref_primary_10_1111_nph_17882 crossref_primary_10_1002_pmic_201500487 crossref_primary_10_1111_nph_14372 crossref_primary_10_1111_tpj_16662 crossref_primary_10_1016_j_ijrefrig_2025_01_023 crossref_primary_10_1038_s41467_018_07310_x crossref_primary_10_1016_j_cub_2017_12_046 crossref_primary_10_1002_mbo3_438 crossref_primary_10_1007_s10803_018_3588_8 crossref_primary_10_3390_min9060336 crossref_primary_10_1016_j_jclepro_2020_122518 crossref_primary_10_1016_j_fsi_2025_110311 crossref_primary_10_3390_ijms20205188 crossref_primary_10_15252_msb_20209807 crossref_primary_10_1038_s41586_025_09548_0 crossref_primary_10_1016_j_softx_2025_102094 crossref_primary_10_1038_s41598_020_62124_6 crossref_primary_10_3390_ma11112336 crossref_primary_10_1371_journal_pcbi_1009912 crossref_primary_10_1093_jnen_nlab045 crossref_primary_10_1038_s41598_018_30562_y crossref_primary_10_1007_s13127_021_00503_1 crossref_primary_10_1016_j_jnucmat_2019_01_048 crossref_primary_10_1038_srep41871 crossref_primary_10_1098_rsob_160139 crossref_primary_10_1016_j_vetimm_2018_01_007 crossref_primary_10_1038_s41467_021_23641_8 crossref_primary_10_3390_catal9100831 crossref_primary_10_1016_j_envexpbot_2019_103806 crossref_primary_10_1084_jem_20191734 crossref_primary_10_1016_j_xphs_2017_12_016 crossref_primary_10_1002_ohn_262 crossref_primary_10_1371_journal_pone_0248781 crossref_primary_10_3390_cancers13194767 crossref_primary_10_1016_j_vaa_2024_04_002 crossref_primary_10_1038_s41598_021_96327_2 crossref_primary_10_1128_JVI_00817_21 crossref_primary_10_1016_j_jmmm_2017_08_057 crossref_primary_10_1016_j_bbamcr_2019_01_002 crossref_primary_10_1016_j_ijbiomac_2018_12_239 crossref_primary_10_1016_j_jmb_2025_169306 crossref_primary_10_3390_ijms22116146 crossref_primary_10_1161_CIRCIMAGING_119_009075 crossref_primary_10_3390_diagnostics10110904 crossref_primary_10_1002_cctc_202401762 crossref_primary_10_1007_s11837_021_04607_z crossref_primary_10_1016_j_ejmp_2020_08_010 crossref_primary_10_1097_PAI_0000000000000542 crossref_primary_10_3390_ijms20133222 crossref_primary_10_1016_j_colsurfb_2021_112059 crossref_primary_10_1038_srep44135 crossref_primary_10_1038_s43586_022_00131_9 crossref_primary_10_3389_fpls_2020_00148 crossref_primary_10_1111_febs_14175 crossref_primary_10_1186_s12967_016_1040_4 crossref_primary_10_1002_rra_3889 crossref_primary_10_1038_s41583_019_0250_1 crossref_primary_10_1074_jbc_M116_773523 crossref_primary_10_1113_JP276079 crossref_primary_10_3390_biomimetics9040216 crossref_primary_10_3389_fncir_2021_710925 crossref_primary_10_1007_s10495_016_1235_4 crossref_primary_10_1038_cddiscovery_2016_4 crossref_primary_10_1093_nsr_nwz053 crossref_primary_10_1371_journal_pone_0189020 crossref_primary_10_1038_s41598_019_50191_3 crossref_primary_10_1016_j_mtcomm_2024_111129 crossref_primary_10_1002_mma_8905 crossref_primary_10_3389_fonc_2024_1403719 crossref_primary_10_1089_zeb_2016_1415 crossref_primary_10_3390_cryst11060677 crossref_primary_10_1242_jeb_166512 crossref_primary_10_1097_BOT_0000000000001450 crossref_primary_10_1093_pcp_pcab036 crossref_primary_10_1670_18_059 crossref_primary_10_3390_ijms20225623 crossref_primary_10_1016_j_cub_2023_11_032 crossref_primary_10_59717_j_xinn_life_2023_100010 crossref_primary_10_1016_j_marpetgeo_2020_104226 crossref_primary_10_1371_journal_pone_0284816 crossref_primary_10_1038_s41598_020_77796_3 crossref_primary_10_1038_s41467_018_04656_0 crossref_primary_10_1038_s41598_019_44633_1 crossref_primary_10_1093_pcp_pcab040 crossref_primary_10_3390_ma11040542 crossref_primary_10_1002_anie_202510312 crossref_primary_10_1016_j_jri_2019_102615 crossref_primary_10_1017_S1431927617000630 crossref_primary_10_1111_1365_2745_13011 crossref_primary_10_3389_fphys_2022_838834 crossref_primary_10_3389_fvets_2019_00227 crossref_primary_10_1007_s13313_023_00907_x crossref_primary_10_1091_mbc_E18_04_0236 crossref_primary_10_1093_bbb_zbae080 crossref_primary_10_1111_een_12707 crossref_primary_10_1016_j_aquaculture_2024_740682 crossref_primary_10_1007_s12035_018_0881_7 crossref_primary_10_3389_fpls_2019_01174 crossref_primary_10_1111_mmi_14165 crossref_primary_10_1371_journal_pcbi_1005726 crossref_primary_10_3390_ma10030290 crossref_primary_10_1177_09544070251346827 crossref_primary_10_1111_bpa_12800 crossref_primary_10_1016_j_compbiomed_2017_03_027 crossref_primary_10_1111_1365_2745_13036 crossref_primary_10_1016_j_sab_2018_05_027 crossref_primary_10_1016_j_scitotenv_2022_159555 crossref_primary_10_1091_mbc_e16_08_0612 crossref_primary_10_1080_15287394_2017_1352212 crossref_primary_10_1080_02724634_2024_2445684 crossref_primary_10_1038_s41598_022_18702_x crossref_primary_10_1158_2326_6066_CIR_22_0565 crossref_primary_10_1111_nph_17183 crossref_primary_10_1016_j_jmb_2025_169368 crossref_primary_10_3390_v15020284 crossref_primary_10_1111_mmi_13699 crossref_primary_10_1007_s12035_016_0149_z crossref_primary_10_1177_1071100718766655 crossref_primary_10_1016_j_molcel_2021_12_010 crossref_primary_10_1038_s41598_024_71512_1 crossref_primary_10_1016_j_dyepig_2020_108649 crossref_primary_10_3390_ijerph18042068 crossref_primary_10_3390_s22197426 crossref_primary_10_1029_2018WR023032 crossref_primary_10_3389_ffgc_2024_1432739 crossref_primary_10_1063_1_5111762 crossref_primary_10_1242_jcs_254151 crossref_primary_10_1016_j_physbeh_2022_114000 crossref_primary_10_1186_s12859_017_1934_z crossref_primary_10_1002_jqs_3277 crossref_primary_10_1038_s41598_020_58709_w crossref_primary_10_1016_j_jnucmat_2019_05_060 crossref_primary_10_7554_eLife_95273_4 crossref_primary_10_1128_AEM_01194_19 crossref_primary_10_1534_genetics_116_194837 crossref_primary_10_1186_s13014_021_01883_6 crossref_primary_10_1016_j_bbadis_2020_165776 crossref_primary_10_3389_fgene_2020_00248 crossref_primary_10_1007_s00027_019_0649_9 crossref_primary_10_1016_j_jpain_2024_03_002 crossref_primary_10_1007_s11258_016_0696_4 crossref_primary_10_1186_s12859_016_1383_0 crossref_primary_10_1016_j_micron_2018_09_012 crossref_primary_10_1128_jvi_01350_23 crossref_primary_10_1186_s13071_024_06286_6 crossref_primary_10_1016_j_fm_2018_05_016 crossref_primary_10_1111_tpj_13889 crossref_primary_10_7717_peerj_7233 crossref_primary_10_1186_s12983_025_00575_1 crossref_primary_10_3389_fpls_2018_00219 crossref_primary_10_1371_journal_pone_0254165 crossref_primary_10_7554_eLife_51928 crossref_primary_10_1172_JCI128867 crossref_primary_10_1002_humu_23920 crossref_primary_10_1371_journal_pone_0184652 crossref_primary_10_1002_term_3129 crossref_primary_10_1111_srt_12419 crossref_primary_10_1002_mp_15422 crossref_primary_10_1016_j_egypro_2018_09_041 crossref_primary_10_1002_jmor_70041 crossref_primary_10_1029_2019WR025153 crossref_primary_10_1038_s41598_017_16695_6 crossref_primary_10_2166_wst_2023_091 crossref_primary_10_1038_s41467_021_24545_3 crossref_primary_10_3390_bios12050271 crossref_primary_10_7554_eLife_71809 crossref_primary_10_1080_2162402X_2020_1851539 crossref_primary_10_1083_jcb_201703169 crossref_primary_10_1016_j_acthis_2020_151627 crossref_primary_10_1038_s41467_019_08892_w crossref_primary_10_1016_j_ijbiomac_2020_02_133 crossref_primary_10_1016_j_tice_2017_02_003 crossref_primary_10_1242_jeb_189225 crossref_primary_10_1038_s42003_023_04502_0 crossref_primary_10_1091_mbc_E20_10_0660 crossref_primary_10_1242_jeb_175083 crossref_primary_10_7717_peerj_4187 crossref_primary_10_1016_j_devcel_2024_08_010 crossref_primary_10_1016_j_cdev_2022_203824 crossref_primary_10_5194_soil_3_177_2017 crossref_primary_10_1016_j_envpol_2018_08_084 crossref_primary_10_1186_s40851_019_0126_2 crossref_primary_10_1038_s41592_024_02562_6 crossref_primary_10_1186_s12951_025_03273_6 crossref_primary_10_3389_fpls_2022_840908 crossref_primary_10_1016_j_str_2016_11_005 crossref_primary_10_1021_jacs_7b05878 crossref_primary_10_1016_j_cmpb_2018_10_003 crossref_primary_10_1088_2632_2153_abd614 crossref_primary_10_3390_v14050903 crossref_primary_10_3103_S0027131418020062 crossref_primary_10_1016_j_neuron_2022_01_035 crossref_primary_10_3389_fncel_2017_00227 crossref_primary_10_1007_s10064_018_01455_1 crossref_primary_10_3390_ph15050512 crossref_primary_10_1051_radiopro_2024024 crossref_primary_10_1111_jfd_13583 crossref_primary_10_1038_s44172_024_00307_z crossref_primary_10_1186_s40635_024_00669_w crossref_primary_10_3389_fncel_2018_00217 crossref_primary_10_1016_j_yofte_2023_103444 crossref_primary_10_1016_j_canlet_2019_01_014 crossref_primary_10_1016_j_jnucmat_2017_02_034 crossref_primary_10_3390_app12052543 crossref_primary_10_1016_j_jcz_2022_11_012 crossref_primary_10_1016_j_bbrc_2025_151895 crossref_primary_10_1371_journal_ppat_1005565 crossref_primary_10_1128_AEM_01835_18 crossref_primary_10_1111_ejn_15516 crossref_primary_10_1007_s10142_021_00822_8 crossref_primary_10_1534_g3_117_300132 crossref_primary_10_1002_ece3_71441 crossref_primary_10_3389_fcell_2023_1130058 crossref_primary_10_1002_adhm_202301186 crossref_primary_10_1007_s00294_019_01019_0 crossref_primary_10_1007_s00056_018_0134_4 crossref_primary_10_1007_s40477_024_00934_4 crossref_primary_10_1177_0731684420924081 crossref_primary_10_1111_jipb_13654 crossref_primary_10_1016_j_geomorph_2022_108268 crossref_primary_10_1139_bcb_2016_0190 crossref_primary_10_1016_j_jcjo_2020_04_003 crossref_primary_10_3389_fcell_2020_622308 crossref_primary_10_1016_j_bpj_2018_03_013 crossref_primary_10_1016_j_mineng_2020_106659 crossref_primary_10_1371_journal_pone_0274126 crossref_primary_10_1134_S002044122106018X crossref_primary_10_1016_j_still_2024_106256 crossref_primary_10_7717_peerj_8621 crossref_primary_10_1016_j_immuni_2019_08_006 crossref_primary_10_3389_fnmol_2018_00167 crossref_primary_10_1038_s41418_018_0113_8 crossref_primary_10_1002_vnl_21882 crossref_primary_10_1007_s00418_017_1550_z crossref_primary_10_3389_fncel_2017_00279 crossref_primary_10_1016_j_ecoinf_2024_102752 crossref_primary_10_1002_cne_24938 crossref_primary_10_1039_D0RA08419K crossref_primary_10_1016_j_rvsc_2021_05_006 crossref_primary_10_1007_s41779_025_01278_w crossref_primary_10_1016_j_brs_2018_09_003 crossref_primary_10_3390_ijms21176249 crossref_primary_10_1186_s43008_019_0009_3 crossref_primary_10_3390_jimaging8100270 crossref_primary_10_1016_j_vetimm_2022_110482 crossref_primary_10_1186_s12885_015_2032_0 crossref_primary_10_1074_jbc_RA120_014884 crossref_primary_10_1016_j_cell_2020_08_003 crossref_primary_10_1016_j_nucengdes_2017_08_016 crossref_primary_10_1016_j_msea_2018_08_070 crossref_primary_10_1080_01676830_2021_1949725 crossref_primary_10_1128_jvi_00135_23 crossref_primary_10_1186_s12915_021_01143_9 crossref_primary_10_3390_cells13221855 crossref_primary_10_1038_s41590_024_01915_9 crossref_primary_10_1038_s41598_019_43093_x crossref_primary_10_7554_eLife_32346 crossref_primary_10_1016_j_ajhg_2023_04_008 crossref_primary_10_3390_bioengineering10121380 crossref_primary_10_1038_nprot_2017_116 crossref_primary_10_1016_j_cub_2023_05_051 crossref_primary_10_5194_nhess_23_1355_2023 crossref_primary_10_1186_s12915_023_01598_y crossref_primary_10_3389_fcomp_2021_757653 crossref_primary_10_1007_s10443_016_9538_8 crossref_primary_10_1016_j_cub_2023_05_057 crossref_primary_10_3389_fimmu_2022_1034336 crossref_primary_10_3390_ma17225654 crossref_primary_10_1002_dvdy_726 crossref_primary_10_1016_j_jngse_2021_104294 crossref_primary_10_7554_eLife_89231_3 crossref_primary_10_4103_ijo_IJO_74_22 crossref_primary_10_1371_journal_pone_0266946 crossref_primary_10_1007_s10533_021_00850_3 crossref_primary_10_1038_s41467_023_35936_z crossref_primary_10_1016_j_crad_2018_12_014 crossref_primary_10_1038_nprot_2017_104 crossref_primary_10_1007_s10015_020_00660_0 crossref_primary_10_1099_jgv_0_001421 crossref_primary_10_7554_eLife_51061 crossref_primary_10_1002_ar_24939 crossref_primary_10_1016_j_bios_2023_115806 crossref_primary_10_1111_bph_15581 crossref_primary_10_1159_000515052 crossref_primary_10_1111_oik_04117 crossref_primary_10_3390_ijms20184389 crossref_primary_10_1134_S0026893320010173 crossref_primary_10_1038_s41594_022_00771_1 crossref_primary_10_1016_j_foodchem_2019_125274 crossref_primary_10_1002_jemt_24188 crossref_primary_10_1016_j_plaphy_2018_11_004 crossref_primary_10_1038_s41467_019_12701_9 crossref_primary_10_1007_s10681_025_03565_w crossref_primary_10_3120_0024_9637_67_1_19 crossref_primary_10_1016_j_jasrep_2024_104806 crossref_primary_10_1016_j_jneumeth_2021_109266 crossref_primary_10_1093_ndt_gfy080 crossref_primary_10_1063_5_0166595 crossref_primary_10_3390_electronics10121432 crossref_primary_10_1007_s00344_024_11300_3 crossref_primary_10_1071_FP24299 crossref_primary_10_26508_lsa_202201730 crossref_primary_10_1016_j_snb_2018_08_145 crossref_primary_10_1515_nanoph_2021_0329 crossref_primary_10_1007_s13204_025_03107_9 crossref_primary_10_1016_j_jmb_2017_09_002 crossref_primary_10_3892_mmr_2020_11509 crossref_primary_10_1007_s12031_016_0867_8 crossref_primary_10_1007_s00429_019_01940_7 crossref_primary_10_1016_j_cropro_2019_105046 crossref_primary_10_1016_j_jneumeth_2022_109558 crossref_primary_10_1016_j_gexplo_2019_106364 crossref_primary_10_1016_j_ijrmms_2022_105067 crossref_primary_10_1038_s41598_021_93054_6 crossref_primary_10_1371_journal_pcbi_1007406 crossref_primary_10_3390_mi10120883 crossref_primary_10_1016_j_jcis_2022_10_102 crossref_primary_10_3390_cells11213418 crossref_primary_10_3390_ijms21082803 crossref_primary_10_3389_fnmol_2023_1089101 crossref_primary_10_1002_mrm_26961 crossref_primary_10_3354_meps13076 crossref_primary_10_1016_j_bone_2024_117242 crossref_primary_10_1167_iovs_61_13_10 crossref_primary_10_1002_adfm_201701219 crossref_primary_10_3389_fdmed_2023_1209503 crossref_primary_10_1002_ece3_7992 crossref_primary_10_1186_s12964_024_01735_2 crossref_primary_10_3390_cells12182259 crossref_primary_10_1371_journal_pone_0177070 crossref_primary_10_1002_jcp_30656 crossref_primary_10_1017_S2633903X23000181 crossref_primary_10_1016_j_visres_2019_09_003 crossref_primary_10_1016_j_str_2022_09_001 crossref_primary_10_1186_s12935_020_01457_8 crossref_primary_10_1016_j_ymeth_2016_09_016 crossref_primary_10_1371_journal_pone_0242924 crossref_primary_10_1155_2023_9479183 crossref_primary_10_1111_jpy_13438 crossref_primary_10_1007_s40314_022_02020_z crossref_primary_10_1080_00914037_2020_1798438 crossref_primary_10_1016_j_cell_2021_01_003 crossref_primary_10_1016_j_brainres_2017_11_025 crossref_primary_10_1111_joa_12783 crossref_primary_10_1002_1878_0261_13587 crossref_primary_10_1016_j_susc_2018_08_021 crossref_primary_10_1016_j_yexcr_2020_112442 crossref_primary_10_1073_pnas_2206817119 crossref_primary_10_1016_j_actbio_2021_09_036 crossref_primary_10_1111_pbi_14382 crossref_primary_10_1364_PRJ_418937 crossref_primary_10_1007_s00223_019_00539_8 crossref_primary_10_1016_j_polymer_2020_122453 crossref_primary_10_1002_saj2_20337 crossref_primary_10_1093_mnras_staf721 crossref_primary_10_3390_biomedicines13040935 crossref_primary_10_1111_maps_12927 crossref_primary_10_3897_zookeys_1141_94774 crossref_primary_10_1002_hipo_22830 crossref_primary_10_1038_nn_4620 crossref_primary_10_4103_jpi_jpi_43_16 crossref_primary_10_1016_j_vetimm_2019_109934 crossref_primary_10_1016_j_biomaterials_2021_120651 crossref_primary_10_1021_jacs_9b09335 crossref_primary_10_1007_s11837_016_1863_8 crossref_primary_10_1038_s42003_021_02686_x crossref_primary_10_1261_rna_079607_123 crossref_primary_10_1002_rob_22181 crossref_primary_10_1111_nph_15777 crossref_primary_10_1016_j_abb_2016_06_006 crossref_primary_10_1371_journal_pone_0252707 crossref_primary_10_1016_j_chemphyslip_2017_10_007 crossref_primary_10_1093_jxb_erac019 crossref_primary_10_1002_jez_2230 crossref_primary_10_1111_nph_15366 crossref_primary_10_1038_sdata_2017_134 crossref_primary_10_1007_s13205_019_1732_6 crossref_primary_10_1111_coa_13824 crossref_primary_10_1515_hsz_2019_0110 crossref_primary_10_1111_mec_15159 crossref_primary_10_1016_j_cell_2018_12_013 crossref_primary_10_1002_jbm_b_33914 crossref_primary_10_3389_fcimb_2017_00397 crossref_primary_10_1186_s12935_019_0731_3 crossref_primary_10_1007_s10722_019_00816_3 crossref_primary_10_1038_s41598_021_94323_0 crossref_primary_10_1007_s42947_023_00347_2 crossref_primary_10_1093_plphys_kiaa070 crossref_primary_10_1007_s00226_022_01404_y crossref_primary_10_1186_s13059_019_1814_0 crossref_primary_10_1016_j_fbio_2024_105688 crossref_primary_10_1016_j_lwt_2021_112369 crossref_primary_10_1016_j_virusres_2017_07_016 crossref_primary_10_1016_j_compstruct_2021_114488 crossref_primary_10_1016_j_celrep_2024_115103 crossref_primary_10_1371_journal_pone_0310653 crossref_primary_10_1111_febs_16321 crossref_primary_10_3389_fbinf_2025_1619790 crossref_primary_10_1093_jxb_erae212 crossref_primary_10_1038_s44318_024_00271_6 crossref_primary_10_1111_phen_12419 crossref_primary_10_1039_D4RA01925C crossref_primary_10_3390_min11060653 crossref_primary_10_1146_annurev_genom_083117_021452 crossref_primary_10_1016_j_intimp_2024_112934 crossref_primary_10_1111_tpj_70014 crossref_primary_10_1093_intimm_dxx033 crossref_primary_10_1016_j_jneumeth_2020_108952 crossref_primary_10_1016_j_jaut_2021_102608 crossref_primary_10_1080_10826068_2018_1509085 crossref_primary_10_3390_info10090266 crossref_primary_10_3892_ijmm_2019_4141 crossref_primary_10_1038_s41589_019_0250_5 crossref_primary_10_1016_j_jhazmat_2019_04_012 crossref_primary_10_1038_s41467_019_09355_y crossref_primary_10_1371_journal_pone_0219708 crossref_primary_10_1016_j_colsurfb_2018_04_013 crossref_primary_10_1016_j_saa_2025_126317 crossref_primary_10_1172_JCI133051 crossref_primary_10_1242_dev_160747 crossref_primary_10_34133_2021_9812910 crossref_primary_10_1093_femsec_fiy037 crossref_primary_10_1111_1744_7917_12556 crossref_primary_10_1111_1365_2745_14431 crossref_primary_10_1016_j_cub_2021_05_014 crossref_primary_10_1017_S1431927617001817 crossref_primary_10_1261_rna_078949_121 crossref_primary_10_1002_jcb_26848 crossref_primary_10_1016_j_ijpara_2018_03_005 crossref_primary_10_1007_s12247_019_09390_8 crossref_primary_10_1371_journal_pone_0246459 crossref_primary_10_1016_j_compmedimag_2017_04_005 crossref_primary_10_3389_fncel_2016_00270 crossref_primary_10_1007_s11664_017_5495_8 crossref_primary_10_3390_cells12222619 crossref_primary_10_1016_j_jcis_2018_04_053 crossref_primary_10_3390_life15081261 crossref_primary_10_1094_PHYTO_05_19_0175_R crossref_primary_10_1111_jace_17684 crossref_primary_10_1016_j_cub_2021_05_008 crossref_primary_10_1073_pnas_1618157114 crossref_primary_10_1186_s12880_018_0280_6 crossref_primary_10_1093_plcell_koab180 crossref_primary_10_12719_KSIA_2024_36_1_47 crossref_primary_10_7554_eLife_95273 crossref_primary_10_1016_j_ecss_2018_04_030 crossref_primary_10_4103_1673_5374_276335 crossref_primary_10_1007_s11356_020_12090_3 crossref_primary_10_1242_dev_147751 crossref_primary_10_3389_fpls_2018_00502 crossref_primary_10_1016_j_celrep_2024_115117 crossref_primary_10_1371_journal_pone_0221157 crossref_primary_10_1007_s00418_017_1610_4 crossref_primary_10_2147_IJN_S270681 crossref_primary_10_1016_j_jtho_2018_08_2034 crossref_primary_10_1016_j_brainres_2020_147265 crossref_primary_10_1016_j_conbuildmat_2020_118347 crossref_primary_10_1111_1365_2745_13111 crossref_primary_10_1061__ASCE_EM_1943_7889_0001299 crossref_primary_10_1128_JB_00688_17 crossref_primary_10_1111_acel_14359 crossref_primary_10_1038_s41598_021_02850_7 crossref_primary_10_1038_s41467_024_53772_7 crossref_primary_10_3390_s20113319 crossref_primary_10_1002_bit_26566 crossref_primary_10_1186_s12983_023_00503_1 crossref_primary_10_1038_s41598_017_08788_z crossref_primary_10_1016_j_indcrop_2020_112162 crossref_primary_10_1016_j_powtec_2019_01_003 crossref_primary_10_1093_jn_nxab151 crossref_primary_10_1161_CIRCULATIONAHA_121_056286 crossref_primary_10_3897_neobiota_70_65454 crossref_primary_10_1073_pnas_1812296116 crossref_primary_10_3390_gels9080629 crossref_primary_10_1016_j_ecolind_2017_05_001 crossref_primary_10_1007_s12237_019_00539_9 crossref_primary_10_1016_j_jmb_2017_06_021 crossref_primary_10_1016_j_jflm_2020_102048 crossref_primary_10_1109_ACCESS_2025_3552626 crossref_primary_10_1038_s41598_018_21840_w crossref_primary_10_1039_D3SC00869J crossref_primary_10_3390_plants9111456 crossref_primary_10_3389_fgene_2019_00075 crossref_primary_10_1038_s41598_019_41442_4 crossref_primary_10_1111_tpj_16851 crossref_primary_10_3390_membranes13040392 crossref_primary_10_1002_lsm_23483 crossref_primary_10_3389_fnana_2017_00064 crossref_primary_10_1242_dev_200026 crossref_primary_10_1242_jeb_213934 crossref_primary_10_1016_j_jbc_2021_101459 crossref_primary_10_1093_aobpla_plaf039 crossref_primary_10_3892_ijo_2018_4467 crossref_primary_10_1016_j_brainresbull_2025_111443 crossref_primary_10_1007_s00198_018_4675_6 crossref_primary_10_1002_ece3_4337 crossref_primary_10_1371_journal_pbio_3000388 crossref_primary_10_3390_geosciences10090365 crossref_primary_10_1038_s41467_021_21278_1 crossref_primary_10_1007_s00300_018_2303_8 crossref_primary_10_1111_jvs_13015 crossref_primary_10_1016_j_intimp_2018_08_012 crossref_primary_10_3389_fimmu_2022_917866 crossref_primary_10_1016_j_knosys_2019_02_025 crossref_primary_10_1038_s41467_020_15743_6 crossref_primary_10_1016_j_envexpbot_2018_05_019 crossref_primary_10_1017_S1751731117000982 crossref_primary_10_1016_j_apenergy_2021_117678 crossref_primary_10_1111_pbi_13536 crossref_primary_10_1016_j_molcel_2024_07_004 crossref_primary_10_3390_min11020151 crossref_primary_10_1088_2057_1739_aa6aae crossref_primary_10_1371_journal_ppat_1007224 crossref_primary_10_1186_s13007_020_00642_0 crossref_primary_10_1007_s00018_023_04959_6 crossref_primary_10_1053_j_gastro_2018_06_049 crossref_primary_10_1016_j_poly_2016_09_056 crossref_primary_10_1084_jem_20200483 crossref_primary_10_1080_09553002_2021_1864501 crossref_primary_10_7554_eLife_35136 crossref_primary_10_1111_tpj_14650 crossref_primary_10_3390_ma14216714 crossref_primary_10_1017_S0022215119000082 crossref_primary_10_3892_ijo_2018_4485 crossref_primary_10_1016_j_hydromet_2019_105153 crossref_primary_10_1111_1462_2920_15455 crossref_primary_10_1128_JVI_02107_16 crossref_primary_10_1186_s12987_022_00319_x crossref_primary_10_1007_s10439_018_2056_0 crossref_primary_10_1111_tpj_14625 crossref_primary_10_1038_s41598_018_29459_7 crossref_primary_10_1007_s10980_019_00808_9 crossref_primary_10_1016_j_sna_2024_116123 crossref_primary_10_1016_j_ces_2020_115609 crossref_primary_10_1016_j_biopsych_2019_08_020 crossref_primary_10_1016_j_jinsphys_2017_11_004 crossref_primary_10_1007_s11051_019_4620_4 crossref_primary_10_1002_smll_201905192 crossref_primary_10_1007_s10895_023_03295_z crossref_primary_10_1016_j_apmt_2017_10_004 crossref_primary_10_1016_j_scitotenv_2024_176503 crossref_primary_10_1093_ndt_gfy006 crossref_primary_10_1016_j_carbon_2018_10_031 crossref_primary_10_1098_rsos_191438 crossref_primary_10_3389_fphar_2021_707335 crossref_primary_10_1007_s11242_017_0860_x crossref_primary_10_1111_joa_14010 crossref_primary_10_1063_5_0093268 crossref_primary_10_1038_s41598_020_75180_9 crossref_primary_10_1016_j_ijpharm_2022_122574 crossref_primary_10_3389_fmars_2024_1365023 crossref_primary_10_1016_j_sigpro_2019_02_028 crossref_primary_10_1007_s11042_018_6500_9 crossref_primary_10_1002_term_2574 crossref_primary_10_1016_j_geoderma_2024_116854 crossref_primary_10_1088_1742_6596_1769_1_012015 crossref_primary_10_1086_700095 crossref_primary_10_15252_embj_2019103009 crossref_primary_10_1093_mtomcs_mfac009 crossref_primary_10_1007_s10853_016_0562_8 crossref_primary_10_1016_j_jece_2022_107248 crossref_primary_10_1038_s41467_023_36346_x crossref_primary_10_1016_j_placenta_2019_09_014 crossref_primary_10_1371_journal_pone_0177732 crossref_primary_10_1017_RDC_2018_136 crossref_primary_10_3390_ijms20092078 crossref_primary_10_1016_j_fishres_2017_07_008 crossref_primary_10_1111_1365_2435_14597 crossref_primary_10_1038_s41598_024_64039_y crossref_primary_10_1016_j_biomaterials_2016_12_011 crossref_primary_10_1073_pnas_2008695117 crossref_primary_10_1016_j_nimb_2016_06_021 crossref_primary_10_1002_jemt_70003 crossref_primary_10_1093_nar_gky194 crossref_primary_10_1093_nar_gkab696 crossref_primary_10_1002_ps_8533 crossref_primary_10_1029_2020JB020306 crossref_primary_10_5194_bg_16_3439_2019 crossref_primary_10_1186_s13550_018_0449_6 crossref_primary_10_1038_s41597_022_01477_1 crossref_primary_10_1016_j_energy_2024_131985 crossref_primary_10_1016_j_ncrops_2024_100056 crossref_primary_10_1186_s13287_021_02525_0 crossref_primary_10_1007_s10735_024_10283_5 crossref_primary_10_1016_j_ymgme_2021_05_001 crossref_primary_10_1242_dev_200899 crossref_primary_10_1080_21564574_2017_1413014 crossref_primary_10_1653_024_103_0202 crossref_primary_10_1016_j_jemermed_2019_10_027 crossref_primary_10_1186_s11689_016_9182_5 crossref_primary_10_1111_1365_2435_13211 crossref_primary_10_1007_s00253_018_8801_3 crossref_primary_10_3390_ijms21249535 crossref_primary_10_3389_fendo_2021_642000 crossref_primary_10_1590_1983_40632024v5477706 crossref_primary_10_2138_am_2020_7286 crossref_primary_10_1016_j_asd_2020_100952 crossref_primary_10_1016_j_media_2018_04_006 crossref_primary_10_3390_ijms25116137 crossref_primary_10_1111_oik_04512 crossref_primary_10_3390_ijms20246274 crossref_primary_10_1016_j_cmet_2023_03_019 crossref_primary_10_1177_2472555217740576 crossref_primary_10_1109_TVCG_2017_2744518 crossref_primary_10_1111_ppa_13085 crossref_primary_10_3928_23258160_20200228_04 crossref_primary_10_1002_jev2_12311 crossref_primary_10_1177_2041731420988802 crossref_primary_10_1007_s00418_020_01916_3 crossref_primary_10_1016_j_jbmt_2024_02_042 crossref_primary_10_3389_fendo_2018_00272 crossref_primary_10_1016_j_jchromb_2022_123486 crossref_primary_10_2166_wst_2020_340 crossref_primary_10_2138_am_2019_7116 crossref_primary_10_1016_j_nbd_2025_106818 crossref_primary_10_1007_s11010_018_3311_2 crossref_primary_10_1016_j_molcel_2025_02_004 crossref_primary_10_7554_eLife_78343 crossref_primary_10_3390_su17146502 crossref_primary_10_3390_ijms24108799 crossref_primary_10_1186_s13064_021_00156_y crossref_primary_10_1016_j_matlet_2016_05_164 crossref_primary_10_1016_j_jprot_2024_105320 crossref_primary_10_3390_info14040203 crossref_primary_10_1093_brain_awy137 crossref_primary_10_1016_j_exer_2024_110116 crossref_primary_10_1039_D0NR02189J crossref_primary_10_3389_fonc_2020_00535 crossref_primary_10_1007_s10530_021_02497_5 crossref_primary_10_3389_fmars_2020_586024 crossref_primary_10_1002_art_40413 crossref_primary_10_1038_s41598_019_48460_2 crossref_primary_10_1016_j_synthmet_2022_117025 crossref_primary_10_1080_08927014_2021_2019225 crossref_primary_10_1016_j_cub_2020_01_079 crossref_primary_10_1016_j_immuni_2019_01_002 crossref_primary_10_1038_s41467_017_01837_1 crossref_primary_10_1007_s42995_021_00098_8 crossref_primary_10_1038_s41598_019_48277_z crossref_primary_10_1242_jcs_207670 crossref_primary_10_3389_fpls_2020_00960 crossref_primary_10_3390_antiox11061149 crossref_primary_10_1038_s41598_019_51676_x crossref_primary_10_1038_s41467_019_13393_x crossref_primary_10_1007_s10404_024_02726_y crossref_primary_10_1016_j_jgsce_2023_205022 crossref_primary_10_1136_jitc_2024_010579 crossref_primary_10_1016_j_micron_2024_103724 crossref_primary_10_1088_1755_1315_500_1_012004 crossref_primary_10_1038_s41467_022_29581_1 crossref_primary_10_3389_fgene_2022_840060 crossref_primary_10_3389_fonc_2019_00068 crossref_primary_10_3389_fcomp_2022_777458 crossref_primary_10_1002_jso_24994 crossref_primary_10_1186_s13102_021_00281_5 crossref_primary_10_1016_j_bbr_2019_04_003 crossref_primary_10_1093_jxb_ery261 crossref_primary_10_1091_mbc_E25_06_0271 crossref_primary_10_1016_j_actbio_2019_06_048 crossref_primary_10_1111_jmi_12433 crossref_primary_10_1016_j_colsurfa_2018_01_029 crossref_primary_10_1097_j_pain_0000000000001418 crossref_primary_10_1371_journal_pbio_2004812 crossref_primary_10_1177_1120672120944796 crossref_primary_10_1186_s40795_022_00498_8 crossref_primary_10_1534_genetics_120_303378 crossref_primary_10_1080_02678292_2023_2208548 crossref_primary_10_1080_00071668_2024_2364351 crossref_primary_10_1002_smll_202007610 crossref_primary_10_3390_cells8091016 crossref_primary_10_1073_pnas_2218330120 crossref_primary_10_1371_journal_pntd_0009339 crossref_primary_10_1016_j_jbc_2025_110744 crossref_primary_10_4996_fireecology_130395119 crossref_primary_10_1002_biot_201700652 crossref_primary_10_1016_j_devcel_2017_03_016 crossref_primary_10_1371_journal_pone_0313859 crossref_primary_10_3390_jcm9051255 crossref_primary_10_3390_v11020165 crossref_primary_10_1086_707457 crossref_primary_10_1002_ar_23501 crossref_primary_10_1242_jcs_218313 crossref_primary_10_1016_j_cels_2019_05_009 crossref_primary_10_3390_foods13081171 crossref_primary_10_3389_fmicb_2022_938574 crossref_primary_10_1186_s12983_017_0241_x crossref_primary_10_1017_S2633903X22000058 crossref_primary_10_1016_j_mtla_2019_100318 crossref_primary_10_1242_jcs_242404 crossref_primary_10_1371_journal_pone_0284256 crossref_primary_10_1016_j_smallrumres_2023_106917 crossref_primary_10_1016_j_colsurfb_2020_111544 crossref_primary_10_3390_catal10020222 crossref_primary_10_1091_mbc_E20_08_0547 crossref_primary_10_1109_TCBBIO_2024_3517596 crossref_primary_10_1002_adhm_201801226 crossref_primary_10_1016_j_ecolind_2025_113131 crossref_primary_10_1016_j_scitotenv_2022_156820 crossref_primary_10_1128_jb_00572_21 crossref_primary_10_1158_2326_6066_CIR_16_0374 crossref_primary_10_1002_saj2_20076 crossref_primary_10_1371_journal_pone_0180153 crossref_primary_10_3389_fcell_2021_726866 crossref_primary_10_1016_j_bbalip_2017_07_014 crossref_primary_10_1007_s11837_020_04495_9 crossref_primary_10_3390_microorganisms8081172 crossref_primary_10_1080_14772000_2025_2474979 crossref_primary_10_1016_j_scitotenv_2019_02_382 crossref_primary_10_1080_10520295_2018_1530373 crossref_primary_10_1038_s41598_020_59106_z crossref_primary_10_1016_j_jembe_2018_08_011 crossref_primary_10_1210_en_2018_00445 crossref_primary_10_1016_j_cell_2018_05_042 crossref_primary_10_1007_s00170_019_04652_8 crossref_primary_10_1128_AAC_00707_19 crossref_primary_10_1038_s41597_025_05030_8 crossref_primary_10_1016_j_materresbull_2018_04_045 crossref_primary_10_1111_1365_2435_13759 crossref_primary_10_1038_s41551_021_00789_8 crossref_primary_10_1002_ase_2396 crossref_primary_10_1016_j_jaerosci_2018_03_004 crossref_primary_10_1007_s11440_019_00876_w crossref_primary_10_1016_j_molcel_2020_12_047 crossref_primary_10_1242_jcs_261173 crossref_primary_10_3390_jimaging8090249 crossref_primary_10_1016_j_fusengdes_2018_06_017 crossref_primary_10_1523_JNEUROSCI_0556_21_2021 crossref_primary_10_1038_s41467_023_37988_7 crossref_primary_10_1111_2041_210X_12853 crossref_primary_10_1080_24750263_2022_2105964 crossref_primary_10_4103_UROS_UROS_22_18 crossref_primary_10_1016_j_exer_2017_04_007 crossref_primary_10_1007_s00204_017_2063_1 crossref_primary_10_7717_peerj_15874 crossref_primary_10_1515_teme_2019_0125 crossref_primary_10_1016_j_chemgeo_2019_119326 crossref_primary_10_1093_jxb_erab005 crossref_primary_10_1016_j_ibror_2018_08_004 crossref_primary_10_1016_j_ejphar_2020_173658 crossref_primary_10_1016_j_ccell_2018_08_006 crossref_primary_10_1093_jcbiol_ruy070 crossref_primary_10_1016_j_jpi_2022_100103 crossref_primary_10_1117_1_NPh_6_3_035008 crossref_primary_10_3390_ijms26104951 crossref_primary_10_1080_03008207_2016_1189910 crossref_primary_10_3390_v9040062 crossref_primary_10_1007_s00109_017_1556_y crossref_primary_10_1111_afe_12401 crossref_primary_10_1063_1_4976313 crossref_primary_10_1002_btm2_10242 crossref_primary_10_3390_cancers14215335 crossref_primary_10_3390_ma13051134 crossref_primary_10_1080_21681163_2023_2174776 crossref_primary_10_1371_journal_pone_0259278 crossref_primary_10_1038_s41596_023_00840_9 crossref_primary_10_1083_jcb_201909022 crossref_primary_10_1007_s00068_018_1000_1 crossref_primary_10_1038_s41598_018_20002_2 crossref_primary_10_1002_widm_1309 crossref_primary_10_1007_s00226_020_01224_y crossref_primary_10_1016_j_ecss_2020_106658 crossref_primary_10_1177_0003702820920652 crossref_primary_10_1016_j_biopha_2022_114167 crossref_primary_10_1016_j_jsb_2017_08_006 crossref_primary_10_1088_2053_1591_ace49f crossref_primary_10_1016_j_vaccine_2022_11_018 crossref_primary_10_1080_00102202_2021_1995863 crossref_primary_10_1016_j_bbrc_2016_12_077 crossref_primary_10_1007_s11103_019_00909_8 crossref_primary_10_1016_j_neunet_2019_08_025 crossref_primary_10_1007_s12021_018_9363_3 crossref_primary_10_1002_JPER_19_0567 crossref_primary_10_1111_tpj_14284 crossref_primary_10_1016_j_energy_2020_117227 crossref_primary_10_1159_000445680 crossref_primary_10_3390_ijms23031538 crossref_primary_10_1016_j_actamat_2018_03_049 crossref_primary_10_3389_fbioe_2020_00049 crossref_primary_10_1007_s00784_024_05872_3 crossref_primary_10_1371_journal_pcbi_1006691 crossref_primary_10_1002_jso_25468 crossref_primary_10_1038_s41467_023_43115_3 crossref_primary_10_2478_adms_2019_0016 crossref_primary_10_4103_jpi_jpi_32_17 crossref_primary_10_1534_genetics_117_300192 crossref_primary_10_1016_S1875_5364_25_60810_7 crossref_primary_10_1097_RLI_0000000000000565 crossref_primary_10_1002_path_5008 crossref_primary_10_1186_s13007_019_0403_2 crossref_primary_10_1016_j_gca_2021_05_041 crossref_primary_10_1016_j_scitotenv_2023_162532 crossref_primary_10_1111_mec_14180 crossref_primary_10_1186_s13046_017_0615_0 crossref_primary_10_1242_bio_024380 crossref_primary_10_1016_j_dendro_2017_10_005 crossref_primary_10_1038_s41598_020_74080_2 crossref_primary_10_1371_journal_pone_0321888 crossref_primary_10_1016_j_gca_2023_08_012 crossref_primary_10_1007_s00435_019_00452_6 crossref_primary_10_3390_bios13020151 crossref_primary_10_1002_1878_0261_12599 crossref_primary_10_1074_jbc_M117_784355 crossref_primary_10_1093_jxb_erab039 crossref_primary_10_1038_s41396_018_0211_0 crossref_primary_10_3390_antiox14060660 crossref_primary_10_3389_fnmol_2019_00276 crossref_primary_10_1017_S0025315424000596 crossref_primary_10_1111_jmi_13317 crossref_primary_10_1177_1753193419848600 crossref_primary_10_1016_j_compag_2019_105125 crossref_primary_10_1007_s13346_022_01218_2 crossref_primary_10_1017_lpb_2024_4 crossref_primary_10_1016_j_cemconcomp_2020_103800 crossref_primary_10_1080_00071668_2025_2515571 crossref_primary_10_1016_j_jneumeth_2019_03_003 crossref_primary_10_1186_s12936_021_03960_3 crossref_primary_10_1002_ece3_7444 crossref_primary_10_1016_j_devcel_2022_09_007 crossref_primary_10_1001_jamanetworkopen_2023_7894 crossref_primary_10_1093_jxb_erad241 crossref_primary_10_1242_dev_200076 crossref_primary_10_1016_j_electacta_2017_07_038 crossref_primary_10_1016_j_ceramint_2022_02_069 crossref_primary_10_1016_j_media_2022_102355 crossref_primary_10_1038_s41467_018_03844_2 crossref_primary_10_1371_journal_pone_0180540 crossref_primary_10_3390_ijms242417608 crossref_primary_10_1007_s11692_022_09585_x crossref_primary_10_1371_journal_pone_0189338 crossref_primary_10_1096_fj_202400289R crossref_primary_10_1111_1759_7714_15075 crossref_primary_10_1016_j_est_2017_04_002 crossref_primary_10_1371_journal_ppat_1009007 crossref_primary_10_1139_cjfr_2018_0221 crossref_primary_10_1007_s12640_018_9883_5 crossref_primary_10_1080_09553002_2020_1688412 crossref_primary_10_1080_09603409_2017_1389132 crossref_primary_10_3389_fpls_2022_1076744 crossref_primary_10_1109_ACCESS_2021_3073894 crossref_primary_10_1038_s41467_018_07717_6 crossref_primary_10_1167_iovs_18_25347 crossref_primary_10_1016_j_powtec_2018_02_036 crossref_primary_10_1088_2053_1583_ac3377 crossref_primary_10_1371_journal_pone_0201077 crossref_primary_10_1093_femsle_fny155 crossref_primary_10_1038_cddis_2017_89 crossref_primary_10_12688_f1000research_51868_3 crossref_primary_10_12688_f1000research_51868_2 crossref_primary_10_12688_f1000research_51868_1 crossref_primary_10_3390_bioengineering11121271 crossref_primary_10_1038_s41564_021_00900_4 crossref_primary_10_7554_eLife_59272 crossref_primary_10_1371_journal_pbio_3001781 crossref_primary_10_1016_j_matchar_2020_110561 crossref_primary_10_1039_C9RA07352C crossref_primary_10_1016_j_cbd_2025_101509 crossref_primary_10_1038_s41593_020_0618_6 crossref_primary_10_1111_acel_14004 crossref_primary_10_1007_s00204_018_2255_3 crossref_primary_10_1016_j_ajhg_2017_09_015 crossref_primary_10_3233_JAD_210285 crossref_primary_10_1128_JB_00402_16 crossref_primary_10_1002_jcp_28074 crossref_primary_10_1038_s41598_018_27854_8 crossref_primary_10_3390_ijms18040825 crossref_primary_10_1016_j_acthis_2021_151765 crossref_primary_10_1016_j_ajpath_2017_07_005 crossref_primary_10_1038_mtna_2016_102 crossref_primary_10_3389_fpls_2020_545748 crossref_primary_10_3390_ijms232113042 crossref_primary_10_1094_PHYTO_04_17_0163_R crossref_primary_10_1007_s00371_018_1486_x crossref_primary_10_1007_s00418_022_02130_z crossref_primary_10_1016_j_ejmp_2020_09_015 crossref_primary_10_1002_wdev_260 crossref_primary_10_1080_13880209_2018_1501585 crossref_primary_10_1161_ATVBAHA_119_312366 crossref_primary_10_3390_ijerph19106294 crossref_primary_10_1016_j_ymben_2025_07_006 crossref_primary_10_2118_205347_PA crossref_primary_10_1007_s10577_024_09761_z crossref_primary_10_1016_j_jinsphys_2020_104037 crossref_primary_10_1016_j_gete_2021_100258 crossref_primary_10_1080_07366205_2025_2493489 crossref_primary_10_1242_jeb_168518 crossref_primary_10_1016_j_dnarep_2017_06_001 crossref_primary_10_1016_j_ijbiomac_2019_07_178 crossref_primary_10_1093_conphys_coaa095 crossref_primary_10_1177_1558925019846690 crossref_primary_10_3389_fbioe_2020_558880 crossref_primary_10_1007_s10930_018_9792_8 crossref_primary_10_1111_oik_07059 crossref_primary_10_1016_j_cub_2020_04_020 crossref_primary_10_1371_journal_ppat_1009320 crossref_primary_10_3390_biomedicines11092351 crossref_primary_10_1007_s00417_019_04253_x crossref_primary_10_1016_j_foreco_2020_118360 crossref_primary_10_1016_j_colsurfb_2017_10_039 crossref_primary_10_1016_j_bjps_2019_03_014 crossref_primary_10_1016_j_jia_2024_06_004 crossref_primary_10_1016_j_rse_2019_111275 crossref_primary_10_1007_s00418_020_01952_z crossref_primary_10_1007_s11104_017_3260_7 crossref_primary_10_1093_g3journal_jkaa006 crossref_primary_10_1038_s41598_018_28687_1 crossref_primary_10_7554_eLife_28975 crossref_primary_10_1016_j_nlm_2016_07_005 crossref_primary_10_1088_1755_1315_391_1_012038 crossref_primary_10_1371_journal_pone_0256117 crossref_primary_10_1089_dcbr_2025_0032 crossref_primary_10_3389_fnins_2018_00094 crossref_primary_10_1680_jbibn_17_00038 crossref_primary_10_3103_S0096392520030049 crossref_primary_10_5091_plecevo_91487 crossref_primary_10_1016_j_micres_2019_126295 crossref_primary_10_1016_j_molcel_2023_05_017 crossref_primary_10_1016_j_foreco_2022_120182 crossref_primary_10_3390_ma11101860 crossref_primary_10_3389_fnut_2018_00016 crossref_primary_10_3390_mi9020046 crossref_primary_10_1002_smll_202100472 crossref_primary_10_1242_jcs_200170 crossref_primary_10_1371_journal_pone_0292217 crossref_primary_10_1016_j_surfin_2023_102869 crossref_primary_10_1016_j_cmpb_2024_108577 crossref_primary_10_3390_biology9080207 crossref_primary_10_1080_10498850_2022_2108359 crossref_primary_10_1093_mnras_stx1780 crossref_primary_10_4103_1673_5374_290915 crossref_primary_10_1242_jcs_258798 crossref_primary_10_1002_ana_25832 crossref_primary_10_1007_s12583_019_1210_4 crossref_primary_10_1007_s11837_019_03953_3 crossref_primary_10_1038_s41598_017_17621_6 crossref_primary_10_12688_f1000research_26888_3 crossref_primary_10_1002_cjp2_127 crossref_primary_10_1002_jbm_a_36485 crossref_primary_10_1155_2018_8595278 crossref_primary_10_3390_cryst8090354 crossref_primary_10_1016_j_soilbio_2023_108959 crossref_primary_10_1002_lom3_10251 crossref_primary_10_12688_f1000research_26888_1 crossref_primary_10_3389_fmars_2017_00411 crossref_primary_10_1016_j_wneu_2018_08_080 crossref_primary_10_12688_f1000research_26888_2 crossref_primary_10_3390_ijms24086983 crossref_primary_10_1002_jemt_24855 crossref_primary_10_1002_lom3_10261 crossref_primary_10_1002_cyto_a_23249 crossref_primary_10_1016_j_chemosphere_2021_130796 crossref_primary_10_1007_s11095_019_2705_5 crossref_primary_10_1242_jcs_255299 crossref_primary_10_1093_g3journal_jkab350 crossref_primary_10_1002_dvdy_181 crossref_primary_10_1016_j_actbio_2017_11_002 crossref_primary_10_15252_msb_20167067 crossref_primary_10_1016_j_jhsa_2018_08_017 crossref_primary_10_1016_j_radmeas_2017_07_006 crossref_primary_10_1007_s11033_021_07041_1 crossref_primary_10_1007_s00360_021_01388_4 crossref_primary_10_1016_j_sjbs_2021_11_043 crossref_primary_10_1021_acsnano_7b07785 crossref_primary_10_3389_fmars_2023_1219716 crossref_primary_10_1155_2020_7257913 crossref_primary_10_1007_s12192_018_0879_0 crossref_primary_10_1039_D2BM01066F crossref_primary_10_3390_plants12071567 crossref_primary_10_1177_09544119211030717 crossref_primary_10_1016_j_jbc_2021_101315 crossref_primary_10_3390_jof7020118 crossref_primary_10_1007_s00253_025_13521_2 crossref_primary_10_1016_j_ceramint_2017_05_281 crossref_primary_10_1016_j_scitotenv_2022_155352 crossref_primary_10_1186_s12885_016_2914_9 crossref_primary_10_3389_fpls_2018_00453 crossref_primary_10_1107_S1600576717010470 crossref_primary_10_1111_nph_20118 crossref_primary_10_2147_JIR_S258991 crossref_primary_10_1590_0034_737x202168020006 crossref_primary_10_1016_j_jbiotec_2017_05_016 crossref_primary_10_1242_jeb_240846 crossref_primary_10_1007_s00216_022_03929_4 crossref_primary_10_1016_j_jbc_2022_102575 crossref_primary_10_3892_or_2016_5042 crossref_primary_10_1097_AAP_0000000000000506 crossref_primary_10_1016_j_jhevol_2025_103703 crossref_primary_10_2166_ws_2021_200 crossref_primary_10_1016_j_ceramint_2019_08_268 crossref_primary_10_1111_tbed_14083 crossref_primary_10_1186_s40679_016_0031_0 crossref_primary_10_1111_bph_14052 crossref_primary_10_1016_j_jphotobiol_2017_10_009 crossref_primary_10_1002_aah_10203 crossref_primary_10_1371_journal_pone_0195512 crossref_primary_10_1016_j_lfs_2025_123471 crossref_primary_10_1242_bio_055228 crossref_primary_10_1016_j_powtec_2021_10_039 crossref_primary_10_3389_fcell_2020_618552 crossref_primary_10_1111_1365_2435_70144 crossref_primary_10_1242_jcs_258764 crossref_primary_10_1016_j_matchar_2019_110009 crossref_primary_10_1038_s41467_023_39807_5 crossref_primary_10_1007_s11661_017_4150_6 crossref_primary_10_1016_j_tecto_2018_10_008 crossref_primary_10_1111_1751_7915_70058 crossref_primary_10_3390_app8091512 crossref_primary_10_1007_s00248_018_1175_3 crossref_primary_10_1126_science_aah6152 crossref_primary_10_1016_j_eurpolymj_2025_113727 crossref_primary_10_1007_s10456_016_9536_3 crossref_primary_10_1016_j_ufug_2023_128071 crossref_primary_10_1371_journal_pgen_1011222 crossref_primary_10_3390_biom10020309 crossref_primary_10_1093_conphys_coz035 crossref_primary_10_5194_ejm_33_113_2021 crossref_primary_10_1242_dmm_037325 crossref_primary_10_3390_genes11060667 crossref_primary_10_1016_j_compositesa_2018_04_011 crossref_primary_10_3390_electronics14101942 crossref_primary_10_1016_j_aquaculture_2017_04_035 crossref_primary_10_1016_j_scienta_2023_112763 crossref_primary_10_1016_j_tiv_2016_09_007 crossref_primary_10_1038_s41598_019_53477_8 crossref_primary_10_1038_s41598_021_03858_9 crossref_primary_10_3168_jds_2023_24103 crossref_primary_10_1093_nar_gkab386 crossref_primary_10_1038_s41598_020_74691_9 crossref_primary_10_1002_adma_201801632 crossref_primary_10_1002_adem_201800164 crossref_primary_10_1038_s41598_023_40023_w crossref_primary_10_1007_s12640_021_00435_w crossref_primary_10_3389_fgene_2021_658446 crossref_primary_10_1016_j_nano_2016_12_006 crossref_primary_10_1242_dev_166801 crossref_primary_10_1111_1365_2435_70117 crossref_primary_10_1016_j_sna_2025_116311 crossref_primary_10_1007_s11661_021_06258_w crossref_primary_10_1016_j_ymeth_2017_12_001 crossref_primary_10_1038_s41467_021_23068_1 crossref_primary_10_1016_j_ijggc_2017_07_007 crossref_primary_10_1002_ajpa_24190 crossref_primary_10_3390_biom9100636 crossref_primary_10_1016_j_neuroscience_2021_10_007 crossref_primary_10_1038_s41598_020_69186_6 crossref_primary_10_1136_jitc_2025_012090 crossref_primary_10_15252_emmm_202114817 crossref_primary_10_1038_s41598_018_30051_2 crossref_primary_10_1111_tpj_14923 crossref_primary_10_1111_dgd_12765 crossref_primary_10_1016_j_cell_2023_01_019 crossref_primary_10_1007_s00330_017_4814_z crossref_primary_10_1083_jcb_201903135 crossref_primary_10_1111_1442_1984_12442 crossref_primary_10_1038_s41598_018_24263_9 crossref_primary_10_7717_peerj_cs_977 crossref_primary_10_1016_j_cell_2020_11_001 crossref_primary_10_1007_s00468_019_01899_2 crossref_primary_10_1080_15548627_2018_1429875 crossref_primary_10_1016_j_chom_2017_09_005 crossref_primary_10_1016_j_jddst_2021_103060 crossref_primary_10_1111_jdv_16126 crossref_primary_10_1371_journal_pone_0187847 crossref_primary_10_3390_ijms20010154 crossref_primary_10_1111_jmi_12772 crossref_primary_10_1007_s00521_022_07419_7 crossref_primary_10_1136_bjo_2022_322673 crossref_primary_10_1016_j_imbio_2020_151931 crossref_primary_10_1097_GOX_0000000000003045 crossref_primary_10_1371_journal_pgen_1008130 crossref_primary_10_1016_j_neuroscience_2020_06_045 crossref_primary_10_1089_neu_2019_6405 crossref_primary_10_1111_cmi_12943 crossref_primary_10_1073_pnas_1618804114 crossref_primary_10_1093_plphys_kiab530 crossref_primary_10_1186_s12864_024_10630_6 crossref_primary_10_1016_j_yexcr_2019_04_010 crossref_primary_10_1038_npp_2017_252 crossref_primary_10_3390_ijms23116009 crossref_primary_10_37527_2020_70_3_006 crossref_primary_10_1002_adom_201900706 crossref_primary_10_1016_j_jvoice_2023_03_020 crossref_primary_10_3897_BDJ_6_e22676 crossref_primary_10_1016_j_jmoldx_2024_06_010 crossref_primary_10_1007_s10439_018_2087_6 crossref_primary_10_1016_j_envexpbot_2025_106142 crossref_primary_10_1007_s10911_018_9399_x crossref_primary_10_1111_mmi_13841 crossref_primary_10_1007_s11306_017_1184_0 crossref_primary_10_1093_biolinnean_blae104 crossref_primary_10_1515_ap_2018_0036 crossref_primary_10_1038_s41467_022_32819_7 crossref_primary_10_1016_j_ebiom_2017_07_018 crossref_primary_10_1371_journal_pone_0243616 crossref_primary_10_1038_s41598_022_10429_z crossref_primary_10_3390_biomedicines11030982 crossref_primary_10_1038_s41592_023_01919_7 crossref_primary_10_1038_s41598_017_09832_8 crossref_primary_10_1038_s41598_017_01815_z crossref_primary_10_1186_s12870_018_1307_4 crossref_primary_10_3390_plants8090342 crossref_primary_10_1016_j_chembiol_2021_01_008 crossref_primary_10_1002_2016WR020296 crossref_primary_10_1177_2515816319888216 crossref_primary_10_1111_nph_70349 crossref_primary_10_15252_emmm_201506164 crossref_primary_10_1186_s12958_018_0347_9 crossref_primary_10_3390_antiox9020129 crossref_primary_10_7554_eLife_57860 crossref_primary_10_1093_jxb_erae481 crossref_primary_10_1093_molehr_gaac033 crossref_primary_10_1242_dev_148171 crossref_primary_10_1186_s12917_020_02340_4 crossref_primary_10_1242_bio_053421 crossref_primary_10_3389_fmars_2022_1068391 crossref_primary_10_1016_j_fishres_2018_11_019 crossref_primary_10_7717_peerj_cs_1364 crossref_primary_10_1016_j_bbamem_2018_03_001 crossref_primary_10_3398_064_082_0304 crossref_primary_10_1002_ajb2_1318 crossref_primary_10_1016_j_jhsa_2022_01_012 crossref_primary_10_1093_jxb_erad183 crossref_primary_10_1016_j_molcel_2020_05_028 crossref_primary_10_1177_0022034516679136 crossref_primary_10_3897_asp_81_e98141 crossref_primary_10_1371_journal_pone_0250371 crossref_primary_10_1002_mcf2_10219 crossref_primary_10_3390_biomedicines9111699 crossref_primary_10_1007_s00253_019_09760_9 crossref_primary_10_1016_j_physb_2019_01_050 crossref_primary_10_1016_j_cageo_2017_05_002 crossref_primary_10_1002_admi_202101094 crossref_primary_10_3390_agronomy12040842 crossref_primary_10_1007_s10639_024_13004_3 crossref_primary_10_7554_eLife_63288 crossref_primary_10_3390_molecules24213822 crossref_primary_10_1186_s12870_021_03111_5 crossref_primary_10_1242_dmm_032573 crossref_primary_10_3389_fimmu_2020_584116 crossref_primary_10_1111_and_13905 crossref_primary_10_1098_rsos_190938 crossref_primary_10_1007_s10854_025_15271_3 crossref_primary_10_1186_s40478_021_01200_y crossref_primary_10_1016_j_molcel_2022_08_016 crossref_primary_10_7554_eLife_16096 crossref_primary_10_1016_j_conbuildmat_2023_130994 crossref_primary_10_1111_1365_2745_13601 crossref_primary_10_1038_srep38187 crossref_primary_10_1038_s41598_025_11041_7 crossref_primary_10_1016_j_jpowsour_2023_233420 crossref_primary_10_1016_j_xphs_2015_12_025 crossref_primary_10_1242_dev_157909 crossref_primary_10_3390_jcs9010046 crossref_primary_10_1097_BRS_0000000000001971 crossref_primary_10_1016_j_engfracmech_2018_01_008 crossref_primary_10_1128_spectrum_01656_21 crossref_primary_10_1186_s13229_018_0239_z crossref_primary_10_3390_app122412988 crossref_primary_10_3390_s20143859 crossref_primary_10_1038_s41467_024_50172_9 crossref_primary_10_3389_fgwh_2025_1514960 crossref_primary_10_3389_finsc_2022_959077 crossref_primary_10_1038_s41591_018_0156_x crossref_primary_10_1016_j_bpj_2018_02_031 crossref_primary_10_1134_S1064229321090039 crossref_primary_10_1016_j_jaci_2020_06_030 crossref_primary_10_1038_s41592_023_01990_0 crossref_primary_10_1111_joa_12522 crossref_primary_10_3389_fearc_2025_1604959 crossref_primary_10_1016_j_ajpath_2022_01_013 crossref_primary_10_1111_jmi_13223 crossref_primary_10_1016_j_cub_2018_12_022 crossref_primary_10_1016_j_nima_2024_170024 crossref_primary_10_1016_j_compbiomed_2024_108709 crossref_primary_10_3390_ijms20020360 crossref_primary_10_1109_ACCESS_2025_3599912 crossref_primary_10_1038_s41396_021_01089_4 crossref_primary_10_1111_nph_16418 crossref_primary_10_1038_s41598_020_58274_2 crossref_primary_10_1212_WNL_0000000000008697 crossref_primary_10_3389_fnmol_2022_886729 crossref_primary_10_1007_s13204_025_03091_0 crossref_primary_10_1016_j_ijplas_2018_02_001 crossref_primary_10_1016_j_jmbbm_2025_107028 crossref_primary_10_1016_j_jconrel_2018_04_026 crossref_primary_10_1016_j_jsb_2019_04_013 crossref_primary_10_3389_fvets_2020_554716 crossref_primary_10_1016_j_molcel_2020_09_015 crossref_primary_10_1088_1757_899X_580_1_012028 crossref_primary_10_3390_cells12091228 crossref_primary_10_1016_j_aei_2024_102481 crossref_primary_10_1016_j_gep_2017_04_002 crossref_primary_10_1128_mSphere_00205_17 crossref_primary_10_3389_fneur_2021_668298 crossref_primary_10_1016_j_jfoodeng_2025_112702 crossref_primary_10_1101_gr_278239_123 crossref_primary_10_1016_j_ijpara_2019_06_004 crossref_primary_10_3389_fpls_2024_1360729 crossref_primary_10_3390_su15139875 crossref_primary_10_1016_j_postharvbio_2018_12_005 crossref_primary_10_1016_j_palaeo_2018_07_028 crossref_primary_10_1002_mcf2_10239 crossref_primary_10_3390_molecules24030471 crossref_primary_10_1007_s42979_024_02677_9 crossref_primary_10_1016_j_plaphy_2024_108782 crossref_primary_10_1186_s40478_023_01571_4 crossref_primary_10_1016_j_cemconcomp_2020_103732 crossref_primary_10_1091_mbc_E24_07_0307 crossref_primary_10_1016_j_chom_2022_03_030 crossref_primary_10_1109_JSTQE_2023_3237585 crossref_primary_10_1002_biot_201700140 crossref_primary_10_1111_his_13499 crossref_primary_10_1016_j_aquaculture_2024_740547 crossref_primary_10_1038_s41531_022_00369_w crossref_primary_10_3389_fnagi_2023_1120952 crossref_primary_10_1111_hiv_12524 crossref_primary_10_1523_JNEUROSCI_0255_23_2023 crossref_primary_10_1038_s41598_018_37489_4 crossref_primary_10_1007_s10722_018_0729_z crossref_primary_10_1016_j_compscitech_2022_109288 crossref_primary_10_1016_j_jas_2023_105896 crossref_primary_10_1128_Spectrum_01820_21 crossref_primary_10_1111_tpj_16320 crossref_primary_10_1186_s12870_016_0957_3 crossref_primary_10_1093_gigascience_giy078 crossref_primary_10_1099_jgv_0_001261 crossref_primary_10_1002_lno_10968 crossref_primary_10_1007_s00425_023_04231_y crossref_primary_10_1111_pce_14471 crossref_primary_10_3390_agronomy11122377 crossref_primary_10_1007_s11282_023_00679_6 crossref_primary_10_3390_v10100575 crossref_primary_10_1016_j_reactfunctpolym_2025_106198 crossref_primary_10_1016_j_jbmt_2024_06_002 crossref_primary_10_1016_j_ydbio_2017_10_014 crossref_primary_10_1016_j_actbio_2018_04_007 crossref_primary_10_1002_2211_5463_12285 crossref_primary_10_1002_term_2824 crossref_primary_10_3233_CH_189412 crossref_primary_10_3390_cancers13143385 crossref_primary_10_1038_s41598_021_83439_y crossref_primary_10_1016_j_biortech_2022_128421 crossref_primary_10_1007_s12012_018_9471_1 crossref_primary_10_3390_app142411860 crossref_primary_10_3390_min12091130 crossref_primary_10_1038_s41477_025_02034_5 crossref_primary_10_1016_j_fuproc_2017_08_006 crossref_primary_10_1016_j_scitotenv_2017_10_213 crossref_primary_10_4103_UROS_UROS_2_17 crossref_primary_10_3389_fmicb_2024_1377726 crossref_primary_10_1016_j_dnarep_2019_102763 crossref_primary_10_1016_j_imlet_2025_107057 crossref_primary_10_7717_peerj_2674 crossref_primary_10_1016_j_neuroimage_2019_06_014 crossref_primary_10_1091_mbc_E17_12_0752 crossref_primary_10_3389_fmicb_2021_632637 crossref_primary_10_1038_s41598_017_12225_6 crossref_primary_10_15252_embr_202256271 crossref_primary_10_1093_nar_gkw011 crossref_primary_10_1111_pce_13131 crossref_primary_10_3390_agronomy10101456 crossref_primary_10_1002_mus_25033 crossref_primary_10_1186_s12859_017_1656_2
Cites_doi	10.1038/nmeth.2478 10.1093/bioinformatics/btp184 10.1002/biot.200900007 10.1038/nmeth.2084 10.1371/journal.pone.0038011 10.1186/1471-2105-11-274 10.1371/journal.pcbi.1002519 10.1038/nmeth.2075 10.1017/S1551929500055541 10.1038/nmeth.1896 10.1038/nmeth.2507 10.1093/bioinformatics/bts543 10.1146/annurev.bioeng.2.1.315 10.1186/gb-2006-7-10-r100 10.2144/000112517 10.1083/jcb.201004104 10.1145/281278.281281 10.1109/TIP.2011.2169975 10.1093/bioinformatics/btr390 10.18637/jss.v049.i04 10.1083/jcb.89.2.346 10.1002/jemt.20092 10.1109/MSP.2006.1628877 10.1109/CVPR.2010.5540029 10.1038/nmeth.2089 10.1038/nmeth.2019
ContentType	Journal Article
Copyright	2015 Wiley Periodicals, Inc.
Copyright_xml	– notice: 2015 Wiley Periodicals, Inc.
DBID	BSCLL AAYXX CITATION CGR CUY CVF ECM EIF NPM 7QP 7TM 8FD FR3 K9. P64 RC3 7X8 5PM
DOI	10.1002/mrd.22489
DatabaseName	Istex CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed Calcium & Calcified Tissue Abstracts Nucleic Acids Abstracts Technology Research Database Engineering Research Database ProQuest Health & Medical Complete (Alumni) Biotechnology and BioEngineering Abstracts Genetics Abstracts MEDLINE - Academic PubMed Central (Full Participant titles)
DatabaseTitle	CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) Genetics Abstracts Technology Research Database Nucleic Acids Abstracts ProQuest Health & Medical Complete (Alumni) Engineering Research Database Calcium & Calcified Tissue Abstracts Biotechnology and BioEngineering Abstracts MEDLINE - Academic
DatabaseTitleList	MEDLINE - Academic MEDLINE Genetics Abstracts
Database_xml	– sequence: 1 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: 7X8 name: MEDLINE - Academic url: https://search.proquest.com/medline sourceTypes: Aggregation Database
DeliveryMethod	fulltext_linktorsrc
Discipline	Chemistry Biology Anatomy & Physiology Zoology
EISSN	1098-2795
EndPage	529
ExternalDocumentID	PMC5428984 3751408761 26153368 10_1002_mrd_22489 MRD22489 ark_67375_WNG_DBKWF0X8_D
Genre	reviewArticle Research Support, U.S. Gov't, Non-P.H.S Review Research Support, Non-U.S. Gov't Journal Article Research Support, N.I.H., Extramural
GrantInformation_xml	– fundername: Wellcome Trust, grant number funderid: 095931 – fundername: National Science Foundation funderid: 1148362 – fundername: National Institutes of Health, grant number funderid: RC2 GM092519 – fundername: Wellcome Trust – fundername: NIBIB NIH HHS grantid: R03 EB008516 – fundername: Wellcome Trust grantid: 095931 – fundername: NIGMS NIH HHS grantid: RC2 GM092519
GroupedDBID	--- .3N .GA .GJ .Y3 05W 0R~ 10A 123 1L6 1OB 1OC 1ZS 31~ 33P 3O- 3SF 3WU 4.4 50Y 50Z 51W 51X 52M 52N 52O 52P 52S 52T 52U 52W 52X 53G 5VS 66C 702 7PT 8-0 8-1 8-3 8-4 8-5 8UM 930 A03 AAESR AAEVG AAHBH AAHQN AAMMB AAMNL AANHP AANLZ AAONW AASGY AAXRX AAYCA AAZKR ABCQN ABCUV ABEML ABIJN ACAHQ ACBWZ ACCZN ACGFS ACPOU ACPRK ACRPL ACSCC ACXBN ACXQS ACYXJ ADBBV ADEOM ADIZJ ADKYN ADMGS ADNMO ADOZA ADZMN AEFGJ AEIGN AEIMD AENEX AEUYR AEYWJ AFBPY AFFPM AFGKR AFWVQ AFZJQ AGHNM AGQPQ AGXDD AGYGG AHBTC AHMBA AIDQK AIDYY AIQQE AITYG AIURR AJXKR ALAGY ALMA_UNASSIGNED_HOLDINGS ALUQN ALVPJ AMBMR AMYDB ATUGU AUFTA AZBYB AZFZN AZVAB BAFTC BDRZF BFHJK BHBCM BMNLL BNHUX BQCPF BROTX BRXPI BSCLL BY8 CS3 D-E D-F DCZOG DPXWK DR1 DR2 DRFUL DRSTM EBD EBS EJD EMOBN F00 F01 F04 F5P FEDTE G-S G.N GNP GODZA H.T H.X HBH HF~ HGLYW HHY HHZ HVGLF HZ~ H~9 IX1 J0M JPC KQQ LATKE LAW LC2 LC3 LEEKS LH4 LITHE LOXES LP6 LP7 LUTES LW6 LYRES M56 MEWTI MK4 MRFUL MRSTM MSFUL MSSTM MXFUL MXSTM N04 N05 N9A NF~ NNB O66 O9- P2P P2W P2X P4D PQQKQ Q.N Q11 QB0 QRW R.K RIWAO ROL RX1 RYL SAMSI SUPJJ SV3 UB1 V2E W8V W99 WBKPD WIB WIH WIK WJL WNSPC WOHZO WQJ WXSBR WYISQ XG1 XJT XV2 ZXP ZZTAW ~IA ~KM ~WT AAYXX CITATION O8X AAHHS ACCFJ AEEZP AEQDE AIWBW AJBDE CGR CUY CVF ECM EIF NPM 7QP 7TM 8FD FR3 K9. P64 RC3 7X8 5PM
ID	FETCH-LOGICAL-c6179-22ac64dfa822d84b87838d48f43be64fd0e90fe8c02d9d14d028f162cd539d223
IEDL.DBID	DRFUL
ISICitedReferencesCount	2009
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000358486700004&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	1040-452X
IngestDate	Tue Nov 04 02:00:48 EST 2025 Fri Jul 11 09:22:19 EDT 2025 Sat Nov 29 14:59:41 EST 2025 Thu Apr 03 07:27:16 EDT 2025 Sat Nov 29 05:40:58 EST 2025 Tue Nov 18 20:59:36 EST 2025 Sun Sep 21 06:21:51 EDT 2025 Sun Sep 21 06:17:59 EDT 2025
IsDoiOpenAccess	false
IsOpenAccess	true
IsPeerReviewed	true
IsScholarly	true
Issue	7-8
Language	English
License	http://onlinelibrary.wiley.com/termsAndConditions#vor 2015 Wiley Periodicals, Inc.
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c6179-22ac64dfa822d84b87838d48f43be64fd0e90fe8c02d9d14d028f162cd539d223
Notes	ark:/67375/WNG-DBKWF0X8-D ArticleID:MRD22489 Wellcome Trust, grant number - No. 095931 National Institutes of Health, grant number - No. RC2 GM092519 National Science Foundation - No. 1148362 istex:C1DD835421347AD4DE1EDA98D7221B176440D345 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Feature-3 content type line 23 ObjectType-Review-2
OpenAccessLink	http://doi.org/10.1002/mrd.22489
PMID	26153368
PQID	1698024136
PQPubID	1006435
PageCount	12
ParticipantIDs	pubmedcentral_primary_oai_pubmedcentral_nih_gov_5428984 proquest_miscellaneous_1698967674 proquest_journals_1698024136 pubmed_primary_26153368 crossref_primary_10_1002_mrd_22489 crossref_citationtrail_10_1002_mrd_22489 wiley_primary_10_1002_mrd_22489_MRD22489 istex_primary_ark_67375_WNG_DBKWF0X8_D
PublicationCentury	2000
PublicationDate	July–August 2015
PublicationDateYYYYMMDD	2015-07-01
PublicationDate_xml	– month: 07 year: 2015 text: July–August 2015
PublicationDecade	2010
PublicationPlace	United States
PublicationPlace_xml	– name: United States – name: Hoboken
PublicationTitle	Molecular reproduction and development
PublicationTitleAlternate	Mol. Reprod. Dev
PublicationYear	2015
Publisher	Blackwell Publishing Ltd Wiley Subscription Services, Inc
Publisher_xml	– name: Blackwell Publishing Ltd – name: Wiley Subscription Services, Inc
References	de Chaumont F, Dallongeville S, Chenouard N, Hervé N, Pop S, Provoost T, Meas-Yedid V, Pankajakshan P, Lecomte T, Montagner YL, Lagache T, Dufour A, Olivo-Marin J. 2012. Icy: An open bioimage informatics platform for extended reproducible research. Nat Methods 9:690-696. Long F, Zhou J, Peng H. 2012. Visualization and analysis of 3D microscopic images. PLoS Comput Biol 8:e1002519. Forster B, Van De Ville D, Berent J, Sage D, Unser M. 2004. Complex wavelets for extended depth-of-field: A new method for the fusion of multichannel microscopy images. Microsc Res Tech 65:33-42. Collins TJ. 2007. ImageJ for microscopy. BioTechn 43:25-30. Preibisch S, Saalfeld S, Tomancak P. 2009. Globally optimal stitching of tiled 3D microscopic image acquisitions. Bioinformatics 25:1463-1465. Delgado-Gonzalo R, Thevenaz P, Seelamantula CS, Unser M. 2012. Snakes with an ellipse-reproducing property. Image Process, IEEE Trans On 21:1258-1271. Cardona A, Saalfeld S, Schindelin J, Arganda-Carreras I, Preibisch S, Longair M, Tomancak P, Hartenstein V, Douglas RJ. 2012. TrakEM2 software for neural circuit reconstruction. PLoS ONE 7:e38011. Schmid B, Schindelin J, Cardona A, Longair M, Heisenberg M. 2010. A high-level 3D visualization API for Java and ImageJ. BMC Bioinf 11:274. Yoo TS, Ackerman MJ, Lorensen WE, Schroeder W, Chalana V, Aylward S, Metaxas D, Whitaker R. 2002. Engineering and algorithm design for an image processing api: A technical report on itk-the insight toolkit. Stud Health Technol Inf 586-592. Linkert M, Rueden CT, Allan C, Burel JM, Moore W, Patterson A, Loranger B, Moore J, Neves C, MacDonald D, Tarkowska A, Sticco C, Hill E, Rossner M, Eliceiri K, Swedlow JR. 2010. Metadata matters: Access to image data in the real world. J Cell biol 189:777-782. Pham DL, Xu C, Prince JL. 2000. Current methods in medical image segmentation. Annu Rev Biomed Eng 2:315-337. Sluder G, Wolf D. 2007. Digital Microscopy, volume 81 (Methods in Cell Biology). Acad Press. 1-632. Henriksson J, Hench J, Tong YG, Johansson A, Johansson D, Bürglin TR. 2013. Endrov: An integrated platform for image analysis. Nat Methods 10:454-456. Hibbard B. 1998. VisAD: Connecting people to computations and people to people. ACM SIGGRAPH Comput Graphics 32:10-12. Inoue S. 1981. Video image processing greatly enhances contrast, quality, and speed in polarization-based microscopy. Journal Cell Biol 89:346-356. Burger W, Burge MJ. 2010. Principles of Digital Image Processing. New York: Springer. p 1-221. Longair MH, Baker DA, Armstrong JD. 2011. Simple Neurite Tracer: Open Source software for reconstruction, visualization and analysis of neuronal processes. Bioinformatics 27:2453-2454. Berthold MR, Cebron N, Dill F, Gabriel TR, Kötter T, Meinl T, Ohl P, Sieb C, Thiel K, Wiswedel B. 2008. KNIME: The Konstanz information miner. Data Analysis, Machine Learning and Applications 319-326. Benmansour F, Longair M, Turetken E, Schindelin J, Fua P. 2012. Bioimage Analysis Workshop, 2012. Spain: Barcelona. Sacha JP, Cockman MD, Dufresne TE, Trokhan D. 2003. Quantification of regional fat volume in rat MRI. Med Imaging 2003:289-297. Allan C, Burel J, Moore J, Blackburn C, Linkert M, Loynton S, MacDonald D, Moore WJ, Neves C, Patterson A, Porter M, Tarkowska A, Loranger B, Avondo J, Lagerstedt I, Lianas L, Leo S, Hands K, Hay RT, Patwardhan A, Best C, Kleywegt GJ, Zanetti G, Swedlow JR. 2012. OMERO: Flexible, model-driven data management for experimental biology. Nat Methods 9:245-253. Bradski G. 2000. The OpenCV library. Doctor Dobbs J 25:120-126. Castleman K. 1996. Digital Image Processing. Upper Saddle River 1-667. Austenfeld M, Beyschlag W. 2012. A Graphical User Interface for R in a Rich Client Platform for Ecological Modeling. J Stat Software 49:1-19. Pitrone P, Schindelin J, Stuyvenberg L, Preibisch S, Weber M, Eliceiri KW, Huisken J, Tomancak P. 2013. OpenSPIM-an open access platform for light sheet microscopy. Nat Methods 10:598-599. Schneider CA, Rasband WS, Eliceiri KW. 2012. NIH Image to ImageJ: 25 years of image analysis. Nat Methods 9:671-675. Meijering E, Smal I, Danuser G. 2006. Tracking in molecular bioimaging. Signal Process Mag IEEE 23:46-53. Möller B, Greß O, Posch S. 2011. Knowing what happened-automatic documentation of image analysis processes. Computer Vision Systems. Berlin Heidelberg: Springer. p 1-10. Pietzsch T, Preibisch S, Tomančák P, Saalfeld S. 2012. ImgLib2-generic image processing in Java. Bioinformatics 28:3009-3011. Stuurman N, Amdodaj N, Vale R. 2007. Micro-Manager: Open Source software for light microscope imaging. Microsc Today 15:42-43. Carpenter AE, Jones TR, Lamprecht MR, Clarke C, Kang IH, Friman O, Guertin DA, Chang JH, Lindquist RA, Moffat J, Golland P, Sabatini DM. 2006. CellProfiler: Image analysis software for identifying and quantifying cell phenotypes. Genome Biol 7:R100. Eliceiri KW, Berthold MR, Goldberg IG, Ibáñez L, Manjunath BS, Martone ME, Murphy RF, Peng H, Plant AL, Roysam B, Stuurman N, Swedlow J, Tomancak P, Carpenter AE. 2012. Biological imaging software tools. Nat Methods 9:697-710. Konstantinides K, Rasure JR. 1994. The Khoros software development environment for image and signal processing. Image Processing. IEEE Trans On 3:243-252. Schindelin J, Arganda-Carreras I, Frise E, Kaynig V, Longair M, Pietzsch T, Preibisch S, Rueden C, Saalfeld S, Schmid B, Tinevez J, White DJ, Hartenstein V, Eliceiri K, Tomancak P, Cardona A. 2012. Fiji: An open-source platform for biological-image analysis. Nat Methods 9:676-682. Hegge S, Kudryashev M, Smith A, Frischknecht F. 2009. Automated classification of Plasmodium sporozoite movement patterns reveals a shift towards productive motility during salivary gland infection. Biotechnol J 4:903-913. 2004; 65 2010; 11 2009; 25 2012 2000; 25 2011 2010 2003; 2003 2010; 189 2006; 7 2008 1996 2007 1994 2000; 2 2002 1981; 89 2007; 15 2006; 23 2013; 10 2000 2012; 28 2012; 49 2009; 4 2012; 7 2007; 43 2011; 27 1998; 32 1994; 3 2012; 21 2012; 8 2012; 9 Köthe U (e_1_2_4_24_1) 2000 Konstantinides K (e_1_2_4_23_1) 1994; 3 e_1_2_4_40_1 Burger W (e_1_2_4_8_1) 2010 Benmansour F (e_1_2_4_5_1) 2012 Castleman K (e_1_2_4_11_1) 1996 e_1_2_4_21_1 Collins TJ (e_1_2_4_13_1) 2007; 43 e_1_2_4_20_1 Sacha JP (e_1_2_4_34_1) 2003; 2003 e_1_2_4_22_1 e_1_2_4_25_1 e_1_2_4_27_1 e_1_2_4_26_1 e_1_2_4_28_1 Bradski G (e_1_2_4_7_1) 2000; 25 e_1_2_4_3_1 e_1_2_4_2_1 e_1_2_4_4_1 Sluder G (e_1_2_4_39_1) 2007 Yoo TS (e_1_2_4_41_1) 2002 e_1_2_4_9_1 Möller B (e_1_2_4_29_1) 2011 Berthold MR (e_1_2_4_6_1) 2008 e_1_2_4_30_1 e_1_2_4_32_1 e_1_2_4_10_1 e_1_2_4_31_1 e_1_2_4_12_1 e_1_2_4_33_1 e_1_2_4_36_1 e_1_2_4_14_1 e_1_2_4_35_1 e_1_2_4_15_1 e_1_2_4_16_1 e_1_2_4_38_1 e_1_2_4_37_1 e_1_2_4_18_1 e_1_2_4_17_1 e_1_2_4_19_1
References_xml	– reference: Schneider CA, Rasband WS, Eliceiri KW. 2012. NIH Image to ImageJ: 25 years of image analysis. Nat Methods 9:671-675. – reference: Bradski G. 2000. The OpenCV library. Doctor Dobbs J 25:120-126. – reference: Hegge S, Kudryashev M, Smith A, Frischknecht F. 2009. Automated classification of Plasmodium sporozoite movement patterns reveals a shift towards productive motility during salivary gland infection. Biotechnol J 4:903-913. – reference: Burger W, Burge MJ. 2010. Principles of Digital Image Processing. New York: Springer. p 1-221. – reference: Collins TJ. 2007. ImageJ for microscopy. BioTechn 43:25-30. – reference: Cardona A, Saalfeld S, Schindelin J, Arganda-Carreras I, Preibisch S, Longair M, Tomancak P, Hartenstein V, Douglas RJ. 2012. TrakEM2 software for neural circuit reconstruction. PLoS ONE 7:e38011. – reference: Pitrone P, Schindelin J, Stuyvenberg L, Preibisch S, Weber M, Eliceiri KW, Huisken J, Tomancak P. 2013. OpenSPIM-an open access platform for light sheet microscopy. Nat Methods 10:598-599. – reference: Henriksson J, Hench J, Tong YG, Johansson A, Johansson D, Bürglin TR. 2013. Endrov: An integrated platform for image analysis. Nat Methods 10:454-456. – reference: Stuurman N, Amdodaj N, Vale R. 2007. Micro-Manager: Open Source software for light microscope imaging. Microsc Today 15:42-43. – reference: Long F, Zhou J, Peng H. 2012. Visualization and analysis of 3D microscopic images. PLoS Comput Biol 8:e1002519. – reference: Pham DL, Xu C, Prince JL. 2000. Current methods in medical image segmentation. Annu Rev Biomed Eng 2:315-337. – reference: Benmansour F, Longair M, Turetken E, Schindelin J, Fua P. 2012. Bioimage Analysis Workshop, 2012. Spain: Barcelona. – reference: Castleman K. 1996. Digital Image Processing. Upper Saddle River 1-667. – reference: Konstantinides K, Rasure JR. 1994. The Khoros software development environment for image and signal processing. Image Processing. IEEE Trans On 3:243-252. – reference: Schmid B, Schindelin J, Cardona A, Longair M, Heisenberg M. 2010. A high-level 3D visualization API for Java and ImageJ. BMC Bioinf 11:274. – reference: Linkert M, Rueden CT, Allan C, Burel JM, Moore W, Patterson A, Loranger B, Moore J, Neves C, MacDonald D, Tarkowska A, Sticco C, Hill E, Rossner M, Eliceiri K, Swedlow JR. 2010. Metadata matters: Access to image data in the real world. J Cell biol 189:777-782. – reference: Hibbard B. 1998. VisAD: Connecting people to computations and people to people. ACM SIGGRAPH Comput Graphics 32:10-12. – reference: Preibisch S, Saalfeld S, Tomancak P. 2009. Globally optimal stitching of tiled 3D microscopic image acquisitions. Bioinformatics 25:1463-1465. – reference: Sacha JP, Cockman MD, Dufresne TE, Trokhan D. 2003. Quantification of regional fat volume in rat MRI. Med Imaging 2003:289-297. – reference: Forster B, Van De Ville D, Berent J, Sage D, Unser M. 2004. Complex wavelets for extended depth-of-field: A new method for the fusion of multichannel microscopy images. Microsc Res Tech 65:33-42. – reference: Möller B, Greß O, Posch S. 2011. Knowing what happened-automatic documentation of image analysis processes. Computer Vision Systems. Berlin Heidelberg: Springer. p 1-10. – reference: Delgado-Gonzalo R, Thevenaz P, Seelamantula CS, Unser M. 2012. Snakes with an ellipse-reproducing property. Image Process, IEEE Trans On 21:1258-1271. – reference: Longair MH, Baker DA, Armstrong JD. 2011. Simple Neurite Tracer: Open Source software for reconstruction, visualization and analysis of neuronal processes. Bioinformatics 27:2453-2454. – reference: Meijering E, Smal I, Danuser G. 2006. Tracking in molecular bioimaging. Signal Process Mag IEEE 23:46-53. – reference: Pietzsch T, Preibisch S, Tomančák P, Saalfeld S. 2012. ImgLib2-generic image processing in Java. Bioinformatics 28:3009-3011. – reference: Sluder G, Wolf D. 2007. Digital Microscopy, volume 81 (Methods in Cell Biology). Acad Press. 1-632. – reference: de Chaumont F, Dallongeville S, Chenouard N, Hervé N, Pop S, Provoost T, Meas-Yedid V, Pankajakshan P, Lecomte T, Montagner YL, Lagache T, Dufour A, Olivo-Marin J. 2012. Icy: An open bioimage informatics platform for extended reproducible research. Nat Methods 9:690-696. – reference: Allan C, Burel J, Moore J, Blackburn C, Linkert M, Loynton S, MacDonald D, Moore WJ, Neves C, Patterson A, Porter M, Tarkowska A, Loranger B, Avondo J, Lagerstedt I, Lianas L, Leo S, Hands K, Hay RT, Patwardhan A, Best C, Kleywegt GJ, Zanetti G, Swedlow JR. 2012. OMERO: Flexible, model-driven data management for experimental biology. Nat Methods 9:245-253. – reference: Berthold MR, Cebron N, Dill F, Gabriel TR, Kötter T, Meinl T, Ohl P, Sieb C, Thiel K, Wiswedel B. 2008. KNIME: The Konstanz information miner. Data Analysis, Machine Learning and Applications 319-326. – reference: Carpenter AE, Jones TR, Lamprecht MR, Clarke C, Kang IH, Friman O, Guertin DA, Chang JH, Lindquist RA, Moffat J, Golland P, Sabatini DM. 2006. CellProfiler: Image analysis software for identifying and quantifying cell phenotypes. Genome Biol 7:R100. – reference: Inoue S. 1981. Video image processing greatly enhances contrast, quality, and speed in polarization-based microscopy. Journal Cell Biol 89:346-356. – reference: Schindelin J, Arganda-Carreras I, Frise E, Kaynig V, Longair M, Pietzsch T, Preibisch S, Rueden C, Saalfeld S, Schmid B, Tinevez J, White DJ, Hartenstein V, Eliceiri K, Tomancak P, Cardona A. 2012. Fiji: An open-source platform for biological-image analysis. Nat Methods 9:676-682. – reference: Eliceiri KW, Berthold MR, Goldberg IG, Ibáñez L, Manjunath BS, Martone ME, Murphy RF, Peng H, Plant AL, Roysam B, Stuurman N, Swedlow J, Tomancak P, Carpenter AE. 2012. Biological imaging software tools. Nat Methods 9:697-710. – reference: Yoo TS, Ackerman MJ, Lorensen WE, Schroeder W, Chalana V, Aylward S, Metaxas D, Whitaker R. 2002. Engineering and algorithm design for an image processing api: A technical report on itk-the insight toolkit. Stud Health Technol Inf 586-592. – reference: Austenfeld M, Beyschlag W. 2012. A Graphical User Interface for R in a Rich Client Platform for Ecological Modeling. J Stat Software 49:1-19. – volume: 15 start-page: 42 year: 2007 end-page: 43 article-title: Micro‐Manager: Open Source software for light microscope imaging publication-title: Microsc Today – volume: 8 start-page: e1002519 year: 2012 article-title: Visualization and analysis of 3D microscopic images publication-title: PLoS Comput Biol – start-page: 1 year: 2007 end-page: 632 article-title: Digital Microscopy, volume 81 (Methods in Cell Biology) publication-title: Acad Press. – start-page: 1 year: 2010 end-page: 221 – volume: 25 start-page: 120 year: 2000 end-page: 126 article-title: The OpenCV library publication-title: Doctor Dobbs J – volume: 9 start-page: 671 year: 2012 end-page: 675 article-title: NIH Image to ImageJ: 25 years of image analysis publication-title: Nat Methods – volume: 27 start-page: 2453 year: 2011 end-page: 2454 article-title: Simple Neurite Tracer: Open Source software for reconstruction, visualization and analysis of neuronal processes publication-title: Bioinformatics – volume: 2 start-page: 315 year: 2000 end-page: 337 article-title: Current methods in medical image segmentation publication-title: Annu Rev Biomed Eng – volume: 28 start-page: 3009 year: 2012 end-page: 3011 article-title: ImgLib2—generic image processing in Java publication-title: Bioinformatics – volume: 3 start-page: 243 year: 1994 end-page: 252 article-title: The Khoros software development environment for image and signal processing. Image Processing publication-title: IEEE Trans On – volume: 65 start-page: 33 year: 2004 end-page: 42 article-title: Complex wavelets for extended depth‐of‐field: A new method for the fusion of multichannel microscopy images publication-title: Microsc Res Tech – year: 1994 – volume: 2003 start-page: 289 year: 2003 end-page: 297 article-title: Quantification of regional fat volume in rat MRI publication-title: Med Imaging – year: 2012 – volume: 7 start-page: R100 year: 2006 article-title: CellProfiler: Image analysis software for identifying and quantifying cell phenotypes publication-title: Genome Biol – start-page: 3‐8311 year: 2000 end-page: 0239–2 – volume: 43 start-page: 25 year: 2007 end-page: 30 article-title: ImageJ for microscopy publication-title: BioTechn – start-page: 1 year: 2011 end-page: 10 – volume: 10 start-page: 454 year: 2013 end-page: 456 article-title: Endrov: An integrated platform for image analysis publication-title: Nat Methods – volume: 7 start-page: e38011 year: 2012 article-title: TrakEM2 software for neural circuit reconstruction publication-title: PLoS ONE – volume: 9 start-page: 245 year: 2012 end-page: 253 article-title: OMERO: Flexible, model‐driven data management for experimental biology publication-title: Nat Methods – volume: 21 start-page: 1258 year: 2012 end-page: 1271 article-title: Snakes with an ellipse‐reproducing property publication-title: Image Process, IEEE Trans On – year: 2008 – volume: 9 start-page: 676 year: 2012 end-page: 682 article-title: Fiji: An open‐source platform for biological‐image analysis publication-title: Nat Methods – volume: 89 start-page: 346 year: 1981 end-page: 356 article-title: Video image processing greatly enhances contrast, quality, and speed in polarization‐based microscopy publication-title: Journal Cell Biol – volume: 11 start-page: 274 year: 2010 article-title: A high‐level 3D visualization API for Java and ImageJ publication-title: BMC Bioinf – volume: 189 start-page: 777 year: 2010 end-page: 782 article-title: Metadata matters: Access to image data in the real world publication-title: J Cell biol – volume: 25 start-page: 1463 year: 2009 end-page: 1465 article-title: Globally optimal stitching of tiled 3D microscopic image acquisitions publication-title: Bioinformatics – volume: 23 start-page: 46 year: 2006 end-page: 53 article-title: Tracking in molecular bioimaging publication-title: Signal Process Mag IEEE – start-page: 319 year: 2008 end-page: 326 publication-title: KNIME: The Konstanz information miner. Data Analysis, Machine Learning and Applications – volume: 49 start-page: 1 year: 2012 end-page: 19 article-title: A Graphical User Interface for R in a Rich Client Platform for Ecological Modeling publication-title: J Stat Software – start-page: 586 year: 2002 end-page: 592 article-title: Engineering and algorithm design for an image processing api: A technical report on itk‐the insight toolkit publication-title: Stud Health Technol Inf – volume: 4 start-page: 903 year: 2009 end-page: 913 article-title: Automated classification of Plasmodium sporozoite movement patterns reveals a shift towards productive motility during salivary gland infection publication-title: Biotechnol J – volume: 10 start-page: 598 year: 2013 end-page: 599 article-title: OpenSPIM‐an open access platform for light sheet microscopy publication-title: Nat Methods – volume: 32 start-page: 10 year: 1998 end-page: 12 article-title: VisAD: Connecting people to computations and people to people publication-title: ACM SIGGRAPH Comput Graphics – volume: 9 start-page: 690 year: 2012 end-page: 696 article-title: Icy: An open bioimage informatics platform for extended reproducible research publication-title: Nat Methods – start-page: 1 year: 1996 end-page: 667 article-title: Digital Image Processing publication-title: Upper Saddle River – start-page: 2902 year: 2010 end-page: 2909 – volume: 9 start-page: 697 year: 2012 end-page: 710 article-title: Biological imaging software tools publication-title: Nat Methods – start-page: 586 year: 2002 ident: e_1_2_4_41_1 article-title: Engineering and algorithm design for an image processing api: A technical report on itk‐the insight toolkit publication-title: Stud Health Technol Inf – ident: e_1_2_4_19_1 doi: 10.1038/nmeth.2478 – ident: e_1_2_4_33_1 doi: 10.1093/bioinformatics/btp184 – ident: e_1_2_4_18_1 doi: 10.1002/biot.200900007 – volume: 2003 start-page: 289 year: 2003 ident: e_1_2_4_34_1 article-title: Quantification of regional fat volume in rat MRI publication-title: Med Imaging – ident: e_1_2_4_16_1 doi: 10.1038/nmeth.2084 – ident: e_1_2_4_9_1 doi: 10.1371/journal.pone.0038011 – volume: 25 start-page: 120 year: 2000 ident: e_1_2_4_7_1 article-title: The OpenCV library publication-title: Doctor Dobbs J – start-page: 1 volume-title: Principles of Digital Image Processing year: 2010 ident: e_1_2_4_8_1 – ident: e_1_2_4_37_1 doi: 10.1186/1471-2105-11-274 – ident: e_1_2_4_26_1 doi: 10.1371/journal.pcbi.1002519 – ident: e_1_2_4_12_1 doi: 10.1038/nmeth.2075 – ident: e_1_2_4_40_1 doi: 10.1017/S1551929500055541 – ident: e_1_2_4_2_1 doi: 10.1038/nmeth.1896 – ident: e_1_2_4_14_1 – volume-title: Bioimage Analysis Workshop, 2012 year: 2012 ident: e_1_2_4_5_1 – volume: 3 start-page: 243 year: 1994 ident: e_1_2_4_23_1 article-title: The Khoros software development environment for image and signal processing. Image Processing publication-title: IEEE Trans On – ident: e_1_2_4_32_1 doi: 10.1038/nmeth.2507 – start-page: 319 year: 2008 ident: e_1_2_4_6_1 publication-title: KNIME: The Konstanz information miner. Data Analysis, Machine Learning and Applications – ident: e_1_2_4_31_1 doi: 10.1093/bioinformatics/bts543 – ident: e_1_2_4_30_1 doi: 10.1146/annurev.bioeng.2.1.315 – ident: e_1_2_4_10_1 doi: 10.1186/gb-2006-7-10-r100 – volume: 43 start-page: 25 year: 2007 ident: e_1_2_4_13_1 article-title: ImageJ for microscopy publication-title: BioTechn doi: 10.2144/000112517 – ident: e_1_2_4_25_1 doi: 10.1083/jcb.201004104 – ident: e_1_2_4_3_1 – start-page: 1 year: 1996 ident: e_1_2_4_11_1 article-title: Digital Image Processing publication-title: Upper Saddle River – ident: e_1_2_4_20_1 doi: 10.1145/281278.281281 – ident: e_1_2_4_15_1 doi: 10.1109/TIP.2011.2169975 – ident: e_1_2_4_27_1 doi: 10.1093/bioinformatics/btr390 – ident: e_1_2_4_4_1 doi: 10.18637/jss.v049.i04 – ident: e_1_2_4_21_1 doi: 10.1083/jcb.89.2.346 – ident: e_1_2_4_17_1 doi: 10.1002/jemt.20092 – start-page: 3‐8311 volume-title: Dissertation, Fachbereich Informatik year: 2000 ident: e_1_2_4_24_1 – ident: e_1_2_4_28_1 doi: 10.1109/MSP.2006.1628877 – start-page: 1 volume-title: Knowing what happened‐automatic documentation of image analysis processes. Computer Vision Systems year: 2011 ident: e_1_2_4_29_1 – ident: e_1_2_4_22_1 doi: 10.1109/CVPR.2010.5540029 – ident: e_1_2_4_35_1 – ident: e_1_2_4_38_1 doi: 10.1038/nmeth.2089 – start-page: 1 year: 2007 ident: e_1_2_4_39_1 article-title: Digital Microscopy, volume 81 (Methods in Cell Biology) publication-title: Acad Press. – ident: e_1_2_4_36_1 doi: 10.1038/nmeth.2019
SSID	ssj0009980
Score	2.655173
SecondaryResourceType	review_article
Snippet	SUMMARY Technology in microscopy advances rapidly, enabling increasingly affordable, faster, and more precise quantitative biomedical imaging, which... Technology in microscopy advances rapidly, enabling increasingly affordable, faster, and more precise quantitative biomedical imaging, which necessitates... SUMMARY Technology in microscopy advances rapidly, enabling increasingly affordable, faster, and more precise quantitative biomedical imaging, which...
SourceID	pubmedcentral proquest pubmed crossref wiley istex
SourceType	Open Access Repository Aggregation Database Index Database Enrichment Source Publisher
StartPage	518
SubjectTerms	Humans Image Processing, Computer-Assisted - instrumentation Image Processing, Computer-Assisted - methods Microscopy Optical Imaging Software
Title	The ImageJ ecosystem: An open platform for biomedical image analysis
URI	https://api.istex.fr/ark:/67375/WNG-DBKWF0X8-D/fulltext.pdf https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fmrd.22489 https://www.ncbi.nlm.nih.gov/pubmed/26153368 https://www.proquest.com/docview/1698024136 https://www.proquest.com/docview/1698967674 https://pubmed.ncbi.nlm.nih.gov/PMC5428984
Volume	82
WOSCitedRecordID	wos000358486700004&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
journalDatabaseRights	– providerCode: PRVWIB databaseName: Wiley Online Library Full Collection 2020 customDbUrl: eissn: 1098-2795 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0009980 issn: 1040-452X databaseCode: DRFUL dateStart: 19960101 isFulltext: true titleUrlDefault: https://onlinelibrary.wiley.com providerName: Wiley-Blackwell
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1bb9MwFD7aWhC8cNm4BMZkEJr2EpY6TmLDU7dQbqNCE9siXiwnTkTFmk5th-Dfc2wnGRVDQuIlsuzjRLY_-3yO7c8AzxVDp8jCwtdVonymwsDP0RH5LAoVjo2hyu3xsZPDZDzmWSY-rcGr9iyM04fofriZnmHHa9PBVb7YuxQNnc71C_Q_XKxDnyJuWQ_66dHo-PBSc1fwRowgwG_TrBUWCuhel3nFHfVNzf64imv-uWXydyprfdHo9n-V4g7caigoGTrM3IW1st6AzWGN0-_pT7JD7KZQ-7d9A67vt6EbB-3VcBj7ZWZjNyFFmJF3UxyU3hOcyDpd6JdkWBNzLRc5P1NLw4oJPog76W9AQSYmB1GNIMo9OB69_nzw1m8uZvALJDzCp1QVMdOVQnahOcs5NirXjFcszMuYVTooRVCVvAioFnrANJKYahDTQkeh0EhI7kOvntXlQyBVgQQ1wQGXacpwaqN0HIlQJ5FCR6lj6sFu2z6yaFTLzeUZZ9LpLVOJNShtDXrwrDM9d1IdVxnt2EbuLNT8m9nblkTydPxGpvsfTkdBxmXqwVaLAtl064UcxAgpsxIZe_C0S8bKN6ssqi5nF85GGBk85sEDB5ruY9TS65h7kKzAqTMwYt-rKfXkqxX9jnCeKDi-c9fC6e8llB-PUht49O-mj-EmEsHIbUPegt5yflE-gWvF9-VkMd-G9STj203v-gUGniTg
linkProvider	Wiley-Blackwell
linkToHtml	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1db9MwFL0aLWi8DNj4yBhgEJr2ki11nMRGvHQLZWNdhaaNVXux3DgRFWs6dR2Cf8-1nWRUDAmJl8iKb2LZPvY9_joGeKsYOkUWZr4uEuUzFQb-CB2Rz6JQYd8YqpE9PvalnwwGfDgUn5fgfX0WxulDNBNupmXY_to0cDMhvXOjGjqZ6W10QFzcgTZDGEUtaKfHvdP-jeiu4JUaQYCJ02GtLBTQnebjBX_UNkX74zay-eeeyd-5rHVGvQf_l42HsFKRUNJ1qHkES3m5CmvdEgfgk59kk9htoXa-fRXu7dah5b36cjh8ez61b9cgRaCRgwl2S58IDmWdMvQ70i2JuZiLXF6oueHFBB_EnfU3sCBj8wVRlSTKYzjtfTjZ2_erqxn8DCmP8ClVWcx0oZBfaM5GHKuVa8YLFo7ymBU6yEVQ5DwLqBa6wzTSmKIT00xHodBISZ5Aq5yW-TMgRYYUNcEul2nKcHCjdByJUCeRQlepY-rBVl1BMqt0y831GRfSKS5TiSUobQl68KYxvXRiHbcZbdpabizU7JvZ3ZZE8mzwUaa7h2e9YMhl6sFGDQNZNewr2YkRU2YtMvbgdRONhW_WWVSZT6-djTBCeMyDpw41TWLUEuyYe5As4KkxMHLfizHl-KuV_Y5wpCg4_nPL4unvOZRHx6kNrP-76StY3j856sv-weDwOdxHWhi5Tckb0JrPrvMXcDf7Ph9fzV5WjewXnaEn6A
linkToPdf	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3db9MwED-NFQYvfGwDAgMMQtNewlLHSWzES7cQGCvVNDFW8WK5cSIq1rTqOgT_PWc7yagYEhIvkWWfY9m-8_389TPAS8XQKbIw93WZKJ-pMPBH6Ih8FoUKx8ZQjez1sc_9ZDDgw6E4WoE3zV0Yxw_RLrgZy7DjtTHwYqbL3UvW0Mlcv0IHxMU16LBIxGiWnfQ4O-lfku4KXrMRBFg4HTbMQgHdbTMv-aOOadofV4HNP89M_o5lrTPK7vxfNe7C7RqEkp7TmnuwUlTrsNGrcAI--Um2iT0Watfb1-HGXhO6ud88DoexX6Y2dgNSVDRyMMFh6QPBqaxjhn5NehUxD3OR2ZlaGFxM8EPcXX-jFmRschBVU6Jswkn29tP-e79-msHPEfIIn1KVx0yXCvGF5mzEsVu5Zrxk4aiIWamDQgRlwfOAaqG7TCOMKbsxzXUUCo2Q5D6sVtOqeAikzBGiJjjkMk0ZTm6UjiMR6iRS6Cp1TD3YaTpI5jVvuXk-40w6xmUqsQWlbUEPXrSiM0fWcZXQtu3lVkLNv5nTbUkkTwfvZLp3eJoFQy5TD7YaNZC1YZ_Lbow6ZfYiYw-et8nY-GafRVXF9MLJCEOExzx44LSmLYxagB1zD5IlfWoFDN33cko1_mppvyOcKQqO_9yx-vT3GsqPx6kNPPp30WewdpRmsn8wOHwMtxAVRu5M8hasLuYXxRO4nn9fjM_nT2sb-wXu7Sdj
openUrl	ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=The+ImageJ+ecosystem%3A+An+open+platform+for+biomedical+image+analysis&rft.jtitle=Molecular+reproduction+and+development&rft.au=Schindelin%2C+Johannes&rft.au=Rueden%2C+Curtis+T.&rft.au=Hiner%2C+Mark+C.&rft.au=Eliceiri%2C+Kevin+W.&rft.date=2015-07-01&rft.pub=Blackwell+Publishing+Ltd&rft.issn=1040-452X&rft.eissn=1098-2795&rft.volume=82&rft.issue=7-8&rft.spage=518&rft.epage=529&rft_id=info:doi/10.1002%2Fmrd.22489&rft.externalDBID=n%2Fa&rft.externalDocID=ark_67375_WNG_DBKWF0X8_D
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1040-452X&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1040-452X&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1040-452X&client=summon