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

doi:10.1186/1471-2105-9-482

BMC Bioinformatics

Volume 9

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Jones TR
Kang IH
Wheeler DB
Lindquist RA
Papallo A
Sabatini DM
Golland P
Carpenter AE

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Kang IH
Wheeler DB
Lindquist RA
Papallo A
Sabatini DM
Golland P
Carpenter AE
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CellProfiler Analyst: data exploration and analysis software for complex image-based screens

Thouis R Jones¹^,2^,3 , In Han Kang³ , Douglas B Wheeler² , Robert A Lindquist² , Adam Papallo¹^,2 , David M Sabatini²^,4 , Polina Golland³ and Anne E Carpenter¹^,2

¹Imaging Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA

²Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA

³Computer Sciences and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02142, USA

⁴Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA

author email corresponding author email

BMC Bioinformatics 2008, 9:482doi:10.1186/1471-2105-9-482


Published:	15 November 2008

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.