PMID:17076895

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Citation

Carpenter, AE , Jones, TR , Lamprecht, MR , Clarke, C , Kang, IH , Friman, O , Guertin, DA , Chang, JH , Lindquist, RA , Moffat, J , Golland, P and Sabatini, DM (2006) CellProfiler: image analysis software for identifying and quantifying cell phenotypes. Genome Biol. 7:R100

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).

Links

PubMed PMC1794559 Online version:10.1186/gb-2006-7-10-r100

Keywords

Dose-Response Relationship, Drug; Gene Expression Profiling; Image Processing, Computer-Assisted; Models, Genetic; Mutation; Phenotype; Reproducibility of Results; Software

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