4.5 Article

CellProfiler: image analysis software for identifying and quantifying cell phenotypes

Journal

GENOME BIOLOGY
Volume 7, Issue 10, Pages -

Publisher

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

Keywords

-

Funding

  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

Ask authors/readers for more resources

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).

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available