CellProfiler: image analysis software for identifying and quantifying cell phenotypes
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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).
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The record
- Venue
- Genome biology
- Topic
- Cell Image Analysis Techniques
- Field
- Biochemistry, Genetics and Molecular Biology
- Canadian institutions
- —
- Funders
- National Institute of General Medical SciencesNatural Sciences and Engineering Research Council of CanadaNational Cancer InstituteNational Institutes of HealthDamon Runyon Cancer Research FoundationNational Institute of Diabetes and Digestive and Kidney DiseasesW. M. Keck FoundationLife Sciences Research FoundationU.S. Department of Defense
- Keywords
- BiologyHuman geneticsComputational biologyPhenotypeEvolutionary biologyGenome BiologySoftwareGeneticsBioinformaticsGenomicsGenomeComputer scienceGene
- Has abstract in OpenAlex
- yes