使用CellProfiler自动识别和测量图像中的生物对象。
Using CellProfiler for Automatic Identification and Measurement of Biological Objects in Images.
作者信息
Bray Mark-Anthony, Vokes Martha S, Carpenter Anne E
机构信息
Broad Institute Imaging Platform, Cambridge, Massachusetts.
出版信息
Curr Protoc Mol Biol. 2015 Jan 5;109:14.17.1-14.17.13. doi: 10.1002/0471142727.mb1417s109.
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.
进行许多生物学实验都需要视觉分析，从计数菌落到测量单个细胞或生物体的大小或荧光强度。本单元概述了CellProfiler的使用方法，这是一种免费的开源图像分析工具，可从生物图像中提取定量信息。它包括一个逐步的协议，用于自动分析琼脂平板上生长的酵母菌落的数量、颜色和大小，但这些方法可适用于识别和测量图像中许多其他类型的物体。该软件的灵活性使实验人员能够创建可调整模块的管道，以适应不同的生物学实验，并从数十张甚至数十万张图像中生成准确的测量结果。
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