Open AccessUsing CellProfiler for Automatic Identification and Measurement of Biological Objects in Images
Author(s) -
Bray MarkAnthony,
Vokes Martha S.,
Carpenter Anne E.
Publication year - 2015
Publication title -
current protocols in molecular biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.533
H-Index - 42
eISSN - 1934-3647
pISSN - 1934-3639
DOI - 10.1002/0471142727.mb1417s109
Subject(s) - computer science , identification (biology) , flexibility (engineering) , software , artificial intelligence , pattern recognition (psychology) , computational biology , biology , mathematics , ecology , statistics , programming language
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. © 2015 by John Wiley & Sons, Inc.