CellProfiler Analyst: data exploration and analysis software for complex image-based screens.

BMC Bioinformatics

Authors	Thouis Jones In Kang Douglas Wheeler Robert Lindquist Adam Papallo David Sabatini Polina Golland Anne Carpenter
Keywords	Cells Phenotype Computational Biology Artificial Intelligence Software Image Processing, Computer-Assisted
Abstract	BACKGROUND: Image-based screens can produce hundreds of measured features for each of hundreds of millions of individual cells in a single experiment. RESULTS: Here, we describe CellProfiler Analyst, open-source software for the interactive exploration and analysis of multidimensional data, particularly data from high-throughput, image-based experiments. CONCLUSION: The system enables interactive data exploration for image-based screens and automated scoring of complex phenotypes that require combinations of multiple measured features per cell.
Year of Publication	2008
Journal	BMC Bioinformatics
Volume	9
Pages	482
Date Published	2008 Nov 15
ISSN	1471-2105
URL	http://www.biomedcentral.com/1471-2105/9/482
DOI	10.1186/1471-2105-9-482
PubMed ID	19014601
PubMed Central ID	PMC2614436
Links	DOI Google Scholar PubMed
Grant list	R01 AI047389 / AI / NIAID NIH HHS / United States DK070069-01 / DK / NIDDK NIH HHS / United States R01 GM0725555 / GM / NIGMS NIH HHS / United States T90 DK070069 / DK / NIDDK NIH HHS / United States T32 GM007739 / GM / NIGMS NIH HHS / United States