A highly efficient, scalable pipeline for fixed feature extraction from large-scale high-content imaging screens

A highly efficient, scalable pipeline for fixed feature extraction from large-scale high-content imaging screens

Summary: Applying artificial intelligence (AI) to image-based morphological profiling cells offers significant potential for identifying disease states and drug responses in high-content imaging (HCI) screens. When differences between populations (e.g., healthy vs. diseased) are unknown or impercept...

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Bibliographic Details
Main Authors: Gabriel Comolet, Neeloy Bose, Jeff Winchell, Alyssa Duren-Lubanski, Tom Rusielewicz, Jordan Goldberg, Grayson Horn, Daniel Paull, Bianca Migliori
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:iScience
Subjects:
Natural sciences
Biological sciences
Bioinformatics
Medical informatics
Online Access:http://www.sciencedirect.com/science/article/pii/S2589004224026592
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http://www.sciencedirect.com/science/article/pii/S2589004224026592

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