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J Biomol Screen DOI:10.1177/1087057110370895

Screening cellular feature measurements for image-based assay development.

Publication TypeJournal Article
Year of Publication2010
AuthorsLogan, DJ, Carpenter, AE
JournalJ Biomol Screen
Date Published2010 Aug
KeywordsBiological Assay, Biological Transport, Cell Line, Tumor, Cell Nucleus, Fluorescence, Humans, Image Processing, Computer-Assisted

The typical "design" approach to image-based assay development involves choosing measurements that are likely to correlate with the phenotype of interest, based on the researcher's intuition and knowledge of image analysis. An alternate "screening" approach is to measure a large number of cellular features and systematically test each feature to identify those that are best able to distinguish positive and negative controls while taking precautions to avoid overfitting the available data. The cell measurement software the authors previously developed, CellProfiler, makes both approaches straightforward, easing the process of assay development. Here, they demonstrate the use of the screening approach to image assay development to select the best measures for scoring publicly available image sets of 2 cytoplasm-to-nucleus translocation assays and 2 Transfluor assays. The authors present the resulting assay quality measures as a baseline for future algorithm comparisons, and all software, methods, and images they present are freely available.


Alternate JournalJ Biomol Screen
PubMed ID20516293
PubMed Central IDPMC3145348
Grant ListUL1RR024924 / RR / NCRR NIH HHS / United States
RL1HG004671 / HG / NHGRI NIH HHS / United States
RL1CA133834 / CA / NCI NIH HHS / United States
RL1GM084437 / GM / NIGMS NIH HHS / United States
UL1 RR024924 / RR / NCRR NIH HHS / United States
RL1 GM084437 / GM / NIGMS NIH HHS / United States
RL1 HG004671 / HG / NHGRI NIH HHS / United States
RL1 CA133834 / CA / NCI NIH HHS / United States