CellProfiler: image analysis software for identifying and quantifying cell phenotypes

CellProfiler: image analysis software for identifying and quantifying cell phenotypes

Biologists can now prepare and image thousands of samples per day using automation, enabling chemical screens and functional genomics (for example, using RNA interference). Here we describe the first free, open-source system designed for flexible, high-throughput cell image analysis, CellProfiler. C...

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Bibliographic Details
Main Authors: Carpenter, Anne E. (Author), Jones, Thouis R. (Contributor), Lamprecht, Michael R. (Author), Clarke, Colin (Contributor), Kang, In Han (Contributor), Friman, Ola (Author), Guertin, David A. (Author), Chang, Joo Han (Author), Lindquist, Robert A. (Author), Moffat, Jason (Author), Golland, Polina (Contributor), Sabatini, David (Author)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Biology (Contributor), Whitehead Institute for Biomedical Research (Contributor), Sabatini, David M. (Contributor)
Format: Article
Language:English
Published: BioMed Central Ltd, 2010-09-29T18:23:23Z.
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