Using CellProfiler for Automatic Identification and Measurement of Biological Objects in Images.
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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. |
Year of Publication | 2015
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Journal | Curr Protoc Mol Biol
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Volume | 109
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Pages | 14.17.1-13
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Date Published | 2015 Jan 05
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ISSN | 1934-3647
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DOI | 10.1002/0471142727.mb1417s109
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PubMed ID | 25559103
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PubMed Central ID | PMC4302752
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Grant list | R01 GM089652 / GM / NIGMS NIH HHS / United States
R01GM089652 / GM / NIGMS NIH HHS / United States
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