4.5 Article

CellProfiler: image analysis software for identifying and quantifying cell phenotypes

期刊

GENOME BIOLOGY
卷 7, 期 10, 页码 -

出版社

BMC
DOI: 10.1186/gb-2006-7-10-r100

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资金

  1. NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES [T90DK070069] Funding Source: NIH RePORTER
  2. NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [R01GM072555] Funding Source: NIH RePORTER
  3. NCI NIH HHS [R01 CA103866] Funding Source: Medline
  4. NIDDK NIH HHS [DK070069-01, T90 DK070069] Funding Source: Medline
  5. NIGMS NIH HHS [R01 GM072555, R01 GM072555-01] Funding Source: Medline

向作者/读者索取更多资源

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 (www.cellprofiler.org). 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).

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