Suchergebnisse - Advanced Techniques in Bioimage Analysis and Microscopy

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    Bioimage Data Analysis Workflows von 三浦, 耕太, Sladoje, Nataša

    ISBN: 3030223868, 9783030223861, 303022385X, 9783030223854
    Veröffentlicht: Cham Springer Nature 2019
    “… The textbook is chiefly intended for advanced undergraduates in the life sciences and biomedicine without a theoretical background in data analysis, as well as for postdocs, staff scientists and …”
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    Avoiding a replication crisis in deep-learning-based bioimage analysis von Laine, Romain F, Arganda-Carreras, Ignacio, Henriques, Ricardo, Jacquemet, Guillaume

    ISSN: 1548-7091, 1548-7105, 1548-7105
    Veröffentlicht: United States Nature Publishing Group 01.10.2021
    Veröffentlicht in Nature methods (01.10.2021)
    “… One promise of deep learning is parameter-free one-click image analysis with expert-level performance in a fraction of the time previously required …”
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    Journal Article
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    Segmentation metric misinterpretations in bioimage analysis von Hirling, Dominik, Tasnadi, Ervin, Caicedo, Juan, Caroprese, Maria V., Sjögren, Rickard, Aubreville, Marc, Koos, Krisztian, Horvath, Peter

    ISSN: 1548-7091, 1548-7105, 1548-7105
    Veröffentlicht: New York Nature Publishing Group US 01.02.2024
    Veröffentlicht in Nature methods (01.02.2024)
    “… Quantitative evaluation of image segmentation algorithms is crucial in the field of bioimage analysis …”
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    Journal Article
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    Challenges and opportunities in bioimage analysis von Li, Xinyang, Zhang, Yuanlong, Wu, Jiamin, Dai, Qionghai

    ISSN: 1548-7091, 1548-7105
    Veröffentlicht: New York Nature Publishing Group US 01.07.2023
    Veröffentlicht in Nature methods (01.07.2023)
    “… Advanced imaging techniques provide holistic observations of complicated biological phenomena across multiple scales while posing great challenges to data analysis …”
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    Journal Article
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    What’s next for bioimage analysis?

    ISSN: 1548-7091, 1548-7105, 1548-7105
    Veröffentlicht: New York Nature Publishing Group US 01.07.2023
    Veröffentlicht in Nature methods (01.07.2023)
    “… Advanced bioimage analysis tools are poised to disrupt the way in which microscopy images are acquired and analyzed …”
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    Bioimage Data Analysis Workflows ‒ Advanced Components and Methods von Miura, Kota, Sladoje, Natasa

    ISBN: 3030763943, 9783030763947, 9783030763930, 3030763935
    Veröffentlicht: Cham Springer Nature 2022
    “… This open access textbook aims at providing detailed explanations on how to design and construct image analysis workflows to successfully conduct bioimage analysis …”
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    E-Book Buch
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    Icy: an open bioimage informatics platform for extended reproducible research von de Chaumont, Fabrice, Dallongeville, Stéphane, Chenouard, Nicolas, Hervé, Nicolas, Pop, Sorin, Provoost, Thomas, Meas-Yedid, Vannary, Pankajakshan, Praveen, Lecomte, Timothée, Le Montagner, Yoann, Lagache, Thibault, Dufour, Alexandre, Olivo-Marin, Jean-Christophe

    ISSN: 1548-7091, 1548-7105, 1548-7105
    Veröffentlicht: New York Nature Publishing Group US 01.07.2012
    Veröffentlicht in Nature methods (01.07.2012)
    “… Icy is a collaborative platform for biological image analysis that extends reproducible research principles by facilitating and stimulating the contribution and sharing of algorithm-based tools …”
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    The Twenty Questions of bioimage object analysis von Cimini, Beth A., Eliceiri, Kevin W.

    ISSN: 1548-7091, 1548-7105, 1548-7105
    Veröffentlicht: New York Nature Publishing Group US 01.07.2023
    Veröffentlicht in Nature methods (01.07.2023)
    “… , making communication hard across disciplines. This work proposes a set of standardized questions that can guide analyses and shows how it can improve the future of bioimage analysis as a whole by making image analysis workflows and tools more FAIR …”
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    Image Data Resource: a bioimage data integration and publication platform von Williams, Eleanor, Moore, Josh, Li, Simon W, Rustici, Gabriella, Tarkowska, Aleksandra, Chessel, Anatole, Leo, Simone, Antal, Bálint, Ferguson, Richard K, Sarkans, Ugis, Brazma, Alvis, Carazo Salas, Rafael E, Swedlow, Jason R

    ISSN: 1548-7091, 1548-7105, 1548-7105
    Veröffentlicht: New York Nature Publishing Group US 01.08.2017
    Veröffentlicht in Nature methods (01.08.2017)
    “… ). IDR links data from several imaging modalities, including high-content screening, multi-dimensional microscopy and digital pathology, with public genetic or chemical databases and cell and tissue …”
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    Omega — harnessing the power of large language models for bioimage analysis von Royer, Loïc A.

    ISSN: 1548-7091, 1548-7105, 1548-7105
    Veröffentlicht: New York Nature Publishing Group US 01.08.2024
    Veröffentlicht in Nature methods (01.08.2024)
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    Multimodal large language models for bioimage analysis von Zhang, Shanghang, Dai, Gaole, Huang, Tiejun, Chen, Jianxu

    ISSN: 1548-7091, 1548-7105, 1548-7105
    Veröffentlicht: New York Nature Publishing Group US 01.08.2024
    Veröffentlicht in Nature methods (01.08.2024)
    “… commercial applications, but also for many scientific fields. Here we give a brief overview of multimodal large language models through the lens of bioimage analysis and discuss …”
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    Why bioimage informatics matters von Myers, Gene

    ISSN: 1548-7091, 1548-7105, 1548-7105
    Veröffentlicht: New York Nature Publishing Group US 01.07.2012
    Veröffentlicht in Nature methods (01.07.2012)
    “… Driven by the importance of spatial and physical factors in cellular processes and the size and complexity of modern image data, computational analysis of biological imagery has become a vital …”
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    Using AI in bioimage analysis to elevate the rate of scientific discovery as a community von Nogare, Damian Dalle, Hartley, Matthew, Deschamps, Joran, Ellenberg, Jan, Jug, Florian

    ISSN: 1548-7091, 1548-7105, 1548-7105
    Veröffentlicht: New York Nature Publishing Group US 01.07.2023
    Veröffentlicht in Nature methods (01.07.2023)
    “… The future of bioimage analysis is increasingly defined by the development and use of tools that rely on deep learning and artificial intelligence (AI …”
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    When seeing is not believing: application-appropriate validation matters for quantitative bioimage analysis von Chen, Jianxu, Viana, Matheus P., Rafelski, Susanne M.

    ISSN: 1548-7091, 1548-7105, 1548-7105
    Veröffentlicht: New York Nature Publishing Group US 01.07.2023
    Veröffentlicht in Nature methods (01.07.2023)
    “… A key step toward biologically interpretable analysis of microscopy image-based assays is rigorous quantitative validation with metrics appropriate for the particular application in use …”
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    The future of bioimage analysis: a dialog between mind and machine von Royer, Loïc A.

    ISSN: 1548-7091, 1548-7105, 1548-7105
    Veröffentlicht: New York Nature Publishing Group US 01.07.2023
    Veröffentlicht in Nature methods (01.07.2023)
    “… The field of bioimage analysis is poised for a major transformation, owing to advancements in imaging technologies and artificial intelligence …”
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    Bioimage analysis of Shigella infection reveals targeting of colonic crypts von Arena, Ellen T, Campbell-Valois, Francois-Xavier, Tinevez, Jean-Yves, Nigro, Giulia, Sachse, Martin, Moya-Nilges, Maryse, Nothelfer, Katharina, Marteyn, Benoit, Shorte, Spencer L, Sansonetti, Philippe J

    ISSN: 1091-6490, 1091-6490
    Veröffentlicht: United States 23.06.2015
    “… Few studies within the pathogenic field have used advanced imaging and analytical tools to quantitatively measure pathogenicity in vivo …”
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    Current challenges in open-source bioimage informatics von Cardona, Albert, Tomancak, Pavel

    ISSN: 1548-7091, 1548-7105, 1548-7105
    Veröffentlicht: New York Nature Publishing Group US 01.07.2012
    Veröffentlicht in Nature methods (01.07.2012)
    “… We discuss the advantages and challenges of the open-source strategy in biological image analysis and argue that its full impact will not be realized without better support and recognition of software …”
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    Bioimage informatics: a new area of engineering biology von Peng, Hanchuan

    ISSN: 1367-4803, 1367-4811, 1460-2059, 1367-4811
    Veröffentlicht: Oxford Oxford University Press 01.09.2008
    Veröffentlicht in Bioinformatics (01.09.2008)
    “… There has been an increasing focus on developing novel image processing, data mining, database and visualization techniques to extract, compare, search and manage the biological knowledge …”
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    Bioimage-based protein subcellular location prediction: a comprehensive review von XU, Ying-Ying, YAO, Li-Xiu, SHEN, Hong-Bin

    ISSN: 2095-2228, 2095-2236
    Veröffentlicht: Beijing Higher Education Press 01.02.2018
    Veröffentlicht in Frontiers of Computer Science (01.02.2018)
    “… With the breakthrough of recent molecule imaging techniques, the usage of 2D bioimages has become increasingly popular in automatically analyzing the protein subcellular location patterns …”
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