Scoring diverse cellular morphologies in image-based screens with iterative feedback and machine lea...
Scoring diverse cellular morphologies in image-based screens with iterative feedback and machine learning
About this item
Full title
Author / Creator
Publisher
United States: National Academy of Sciences
Journal title
Language
English
Formats
Publication information
Publisher
United States: National Academy of Sciences
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Scope and Contents
Contents
Many biological pathways were first uncovered by identifying mutants with visible phenotypes and by scoring every sample in a screen via tedious and subjective visual inspection. Now, automated image analysis can effectively score many phenotypes. In practical application, customizing an image-analysis algorithm or finding a sufficient number of ex...
Alternative Titles
Full title
Scoring diverse cellular morphologies in image-based screens with iterative feedback and machine learning
Authors, Artists and Contributors
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Record Identifier
TN_cdi_proquest_miscellaneous_66909943
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_66909943
Other Identifiers
ISSN
0027-8424
E-ISSN
1091-6490
DOI
10.1073/pnas.0808843106
