Using AI in bioimage analysis to elevate the rate of scientific discovery as a community

The future of bioimage analysis is increasingly defined by the development and use of tools that rely on deep learning and artificial intelligence (AI). For this trend to continue in a way most useful for stimulating scientific progress, it will require our multidisciplinary community to work togeth...

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Veröffentlicht in:Nature methods Jg. 20; H. 7; S. 973 - 975
Hauptverfasser: Nogare, Damian Dalle, Hartley, Matthew, Deschamps, Joran, Ellenberg, Jan, Jug, Florian
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Nature Publishing Group US 01.07.2023
Nature Publishing Group
Schlagworte:
631/114/1305
631/114/1564
631/114/2402
631/1647/245
706/648/697
Artificial intelligence
Bioinformatics
Biological Microscopy
Biological Techniques
Biomedical and Life Sciences
Biomedical Engineering/Biotechnology
Collaboration
Comment
Data analysis
Datasets
Deep learning
Life Sciences
Machine learning
Methods
Microscopy
Proteomics
Software
Tool use
ISSN:1548-7091, 1548-7105, 1548-7105
Online-Zugang:Volltext
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Zusammenfassung:The future of bioimage analysis is increasingly defined by the development and use of tools that rely on deep learning and artificial intelligence (AI). For this trend to continue in a way most useful for stimulating scientific progress, it will require our multidisciplinary community to work together, establish FAIR (findable, accessible, interoperable and reusable) data sharing and deliver usable and reproducible analytical tools.
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ISSN:1548-7091
1548-7105
1548-7105
DOI:10.1038/s41592-023-01929-5