RMPJ: An ImageJ plugin for morphological information processing in biomedical images
RMPJ is an image-processing tool that facilitates the effective enhancement of low-contrast analysis objects and enables preprocessing to quantify the morphological features of the objects under analysis. This ImageJ plugin implements seven image-processing algorithms based on rotational morphologic...
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| Vydáno v: | PLoS computational biology Ročník 21; číslo 4; s. e1012992 |
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| Hlavní autor: | |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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United States
Public Library of Science
16.04.2025
Public Library of Science (PLoS) |
| Témata: | |
| ISSN: | 1553-7358, 1553-734X, 1553-7358 |
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| Abstract | RMPJ is an image-processing tool that facilitates the effective enhancement of low-contrast analysis objects and enables preprocessing to quantify the morphological features of the objects under analysis. This ImageJ plugin implements seven image-processing algorithms based on rotational morphological processing (RMP), a variation of traditional morphological operations. RMPJ enables the enhancement and extraction of intricate and nuanced features in biomedical images. Furthermore, it facilitates the separation and extraction of multiple aggregated structures. This software aims to expand the scope of research in life sciences by providing an image-processing method that quantitatively analyzes the morphological information of objects. |
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| AbstractList | RMPJ is an image-processing tool that facilitates the effective enhancement of low-contrast analysis objects and enables preprocessing to quantify the morphological features of the objects under analysis. This ImageJ plugin implements seven image-processing algorithms based on rotational morphological processing (RMP), a variation of traditional morphological operations. RMPJ enables the enhancement and extraction of intricate and nuanced features in biomedical images. Furthermore, it facilitates the separation and extraction of multiple aggregated structures. This software aims to expand the scope of research in life sciences by providing an image-processing method that quantitatively analyzes the morphological information of objects. RMPJ is an image-processing tool that facilitates the effective enhancement of low-contrast analysis objects and enables preprocessing to quantify the morphological features of the objects under analysis. This ImageJ plugin implements seven image-processing algorithms based on rotational morphological processing (RMP), a variation of traditional morphological operations. RMPJ enables the enhancement and extraction of intricate and nuanced features in biomedical images. Furthermore, it facilitates the separation and extraction of multiple aggregated structures. This software aims to expand the scope of research in life sciences by providing an image-processing method that quantitatively analyzes the morphological information of objects.RMPJ is an image-processing tool that facilitates the effective enhancement of low-contrast analysis objects and enables preprocessing to quantify the morphological features of the objects under analysis. This ImageJ plugin implements seven image-processing algorithms based on rotational morphological processing (RMP), a variation of traditional morphological operations. RMPJ enables the enhancement and extraction of intricate and nuanced features in biomedical images. Furthermore, it facilitates the separation and extraction of multiple aggregated structures. This software aims to expand the scope of research in life sciences by providing an image-processing method that quantitatively analyzes the morphological information of objects. |
| Audience | Academic |
| Author | Kimori, Yoshitaka |
| AuthorAffiliation | University of Southern California, UNITED STATES OF AMERICA Center for Mathematics and Data Science, Gunma University, Maebashi, Gunma, Japan |
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| Author_xml | – sequence: 1 givenname: Yoshitaka orcidid: 0000-0002-7931-8083 surname: Kimori fullname: Kimori, Yoshitaka |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/40238830$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1109/ACCESS.2022.3187507 10.1016/0734-189X(85)90133-1 10.1016/j.jtbi.2015.10.031 10.1109/34.969120 10.1109/TSMC.1979.4310076 10.1038/nmeth.2089 10.1186/1471-2105-11-373 10.1016/j.jsb.2011.07.007 10.1016/j.imavis.2006.07.021 10.1186/2043-9113-1-33 10.1107/S0909049513020761 10.1109/TPAMI.2017.2672972 10.1109/34.192465 10.1038/nmeth.2083 10.1002/jcc.20084 10.1093/bioinformatics/btw413 |
| ContentType | Journal Article |
| Copyright | Copyright: © 2025 Yoshitaka Kimori. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. COPYRIGHT 2025 Public Library of Science 2025 Yoshitaka Kimori. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2025 Yoshitaka Kimori 2025 Yoshitaka Kimori 2025 Yoshitaka Kimori. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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| References | Y Kimori (pcbi.1012992.ref005) 2010; 11 N Otsu (pcbi.1012992.ref011) 1979; 9 EF Pettersen (pcbi.1012992.ref015) 2004; 25 J Suckling (pcbi.1012992.ref012) 2015 P Soille (pcbi.1012992.ref017) 2001; 23 W-H Tsai (pcbi.1012992.ref014) 1985; 29 Y Kimori (pcbi.1012992.ref016) 2022; 10 O Merveille (pcbi.1012992.ref019) 2018; 40 P Maragos (pcbi.1012992.ref020) 1989; 11 Y Kimori (pcbi.1012992.ref006) 2016; 389 CA Schneider (pcbi.1012992.ref009) 2012; 9 D Legland (pcbi.1012992.ref010) 2016; 32 V Ljosa (pcbi.1012992.ref013) 2012; 9 Y Kimori (pcbi.1012992.ref004) 2011; 176 Y Kimori (pcbi.1012992.ref008) 2013; 20 H Talbot (pcbi.1012992.ref018) 2007; 25 L Najman (pcbi.1012992.ref001) 2010 P Soille (pcbi.1012992.ref003) 2003 ER Dougherty (pcbi.1012992.ref002) 1993 Y Kimori (pcbi.1012992.ref007) 2011; 1 |
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| SubjectTerms | Algorithms Computational Biology Computer and Information Sciences Data processing Diagnostic imaging Engineering and Technology Humans Image processing Image Processing, Computer-Assisted - methods Information processing Medical imaging Medical research Medicine and Health Sciences Methods Microscopy Morphology Physical Sciences Research and Analysis Methods Software |
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| Title | RMPJ: An ImageJ plugin for morphological information processing in biomedical images |
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