CellProfiler: image analysis software for identifying and quantifying cell phenotypes

Author(s)
Carpenter, Anne E.; Jones, Thouis R.; Lamprecht, Michael R.; Clarke, Colin; Kang, In Han; ... Show more
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Abstract
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. CellProfiler can address a variety of biological questions quantitatively, including standard assays (for example, cell count, size, per-cell protein levels) and complex morphological assays (for example, cell/organelle shape or subcellular patterns of DNA or protein staining).
Date issued
2006-10
URI
http://hdl.handle.net/1721.1/58762
Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory; Massachusetts Institute of Technology. Department of Biology; Whitehead Institute for Biomedical Research
Journal
Genome biology
Publisher
BioMed Central Ltd
Citation
Genome Biology. 2006 Oct 31;7(10):R100
Version: Final published version
ISSN
1465-6906
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