CellProfiler: image analysis software for identifying and quantifying cell phenotypes View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2006-10-31

AUTHORS

Anne E Carpenter, Thouis R Jones, Michael R Lamprecht, Colin Clarke, In Han Kang, Ola Friman, David A Guertin, Joo Han Chang, Robert A Lindquist, Jason Moffat, Polina Golland, David M Sabatini

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). More... »

PAGES

r100-r100

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/gb-2006-7-10-r100

DOI

http://dx.doi.org/10.1186/gb-2006-7-10-r100

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1040889351

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/17076895


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