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Article

Scoring diverse cellular morphologies in image-based screens with iterative feedback and machine learning.

Proceedings of the National Academy of Sciences of the United States of America - 10 Feb 2009

Jones Thouis R, Carpenter Anne E, Lamprecht Michael R, Moffat Jason, Silver Serena J, Grenier Jennifer K, Castoreno Adam B, Eggert Ulrike S, Root David E, Golland Polina, Sabatini David M

Abstract excerpt

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-an...

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Identifiers

PMID: 19188593
DOI: 10.1073/pnas.0808843106
PMCID: PMC2634799

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026. Prepared record publication-19188593-2026-09-04.2. Manifest publication-graph-cohort-2026-09-04.2.

Source receipt: PubMed via Helena Literature Corpus, retrieved 4 Sept 2026.

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