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Curr Protoc Mol Biol DOI:10.1002/0471142727.mb1417s109

Using CellProfiler for Automatic Identification and Measurement of Biological Objects in Images.

Publication TypeJournal Article
Year of Publication2015
AuthorsBray, M-A, Vokes, MS, Carpenter, AE
JournalCurr Protoc Mol Biol
Volume109
Pages14.17.1-13
Date Published2015 Jan 05
ISSN1934-3647
KeywordsAutomation, Laboratory, Culture Media, Image Processing, Computer-Assisted, Saccharomyces cerevisiae
Abstract

Visual analysis is required to perform many biological experiments, from counting colonies to measuring the size or fluorescence intensity of individual cells or organisms. This unit outlines the use of CellProfiler, a free, open-source image analysis tool that extracts quantitative information from biological images. It includes a step-by-step protocol for automated analysis of the number, color, and size of yeast colonies growing on agar plates, but the methods can be adapted to identify and measure many other types of objects in images. The flexibility of the software allows experimenters to create pipelines of adjustable modules to fit different biological experiments and to generate accurate measurements from dozens or even hundreds of thousands of images.

URLhttp://dx.doi.org/10.1002/0471142727.mb1417s109
DOI10.1002/0471142727.mb1417s109
Pubmed

http://www.ncbi.nlm.nih.gov/pubmed/25559103?dopt=Abstract

Alternate JournalCurr Protoc Mol Biol
PubMed ID25559103
PubMed Central IDPMC4302752
Grant ListR01 GM089652 / GM / NIGMS NIH HHS / United States
R01GM089652 / GM / NIGMS NIH HHS / United States