Imaging Platform, Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts, USA.
Nat Methods. 2012 Apr 22;9(7):714-6. doi: 10.1038/nmeth.1984.
We present a toolbox for high-throughput screening of image-based Caenorhabditis elegans phenotypes. The image analysis algorithms measure morphological phenotypes in individual worms and are effective for a variety of assays and imaging systems. This WormToolbox is available through the open-source CellProfiler project and enables objective scoring of whole-worm high-throughput image-based assays of C. elegans for the study of diverse biological pathways that are relevant to human disease.
我们提供了一个用于基于图像的秀丽隐杆线虫表型高通量筛选的工具包。这些图像分析算法可以测量单个线虫的形态表型,并且适用于各种测定法和成像系统。这个 WormToolbox 可通过开源的 CellProfiler 项目获取,它支持对基于图像的全虫高通量实验进行客观评分,这些实验可以用于研究与人类疾病相关的不同生物学通路。