Carolina Wählby, Lee Kamentsky, Zihan H. Liu, Tammy Riklin-Raviv, Annie L. Conery, Eyleen J. O'Rourke, Katherine L. Sokolnicki, Orane Visvikis, Vebjorn Ljosa, Javier E. Irazoqui, Polina, Golland, Gary, Ruvkun, Frederick M. Ausubel, and Anne E. Carpenter: “An image analysis toolbox for high-throughput C. elegans assays,” Nature Methods, 9(7), p. 714–716, 2012, 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.