Screening cellular feature measurements for image-based assay development.
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.
Imaging Platform, The Broad Institute of MIT and Harvard, Cambridge, MA, USA.
David J
DJ
Logan
Anne E
AE
Carpenter
D001681:Biological Assay / Q000379:methods*; D001692:Biological Transport; D045744:Cell Line, Tumor; D002467:Cell Nucleus / Q000378:metabolism; D005453:Fluorescence; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*