An image analysis toolbox for high-throughput C. elegans assays
Author(s)Kamentsky, Lee; Liu, Zihan H.; Riklin-Raviv, Tammy; Conery, Annie L.; O'Rourke, Eyleen J.; Sokolnicki, Katherine L.; Visvikis, Orane; Ljosa, Vebjorn; Irazoqui, Javier E.; Golland, Polina; Ruvkun, Gary; Ausubel, Frederick M.; Carpenter, Anne E.; Wahlby, Carolina; ... Show more Show less
DownloadGolland_An image.pdf (1.372Mb)
MetadataShow full item record
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.
DepartmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Nature Publishing Group
Wählby, Carolina, Lee Kamentsky, Zihan H Liu, Tammy Riklin-Raviv, Annie L Conery, Eyleen J O’Rourke, Katherine L Sokolnicki, et al. “An Image Analysis Toolbox for High-Throughput C. Elegans Assays.” Nature Methods 9, no. 7 (April 22, 2012): 714–716.
Author's final manuscript