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

Curr Protoc Mol Biol
Authors
Keywords
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
Journal
Curr Protoc Mol Biol
Volume
109
Pages
14.17.1-13
Date Published
2015 Jan 05
ISSN
1934-3647
URL
DOI
10.1002/0471142727.mb1417s109
PubMed ID
25559103
PubMed Central ID
PMC4302752
Links
Grant list
R01 GM089652 / GM / NIGMS NIH HHS / United States
R01GM089652 / GM / NIGMS NIH HHS / United States