An image analysis toolbox for high-throughput C. elegans assays
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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
Date Issued
April 2012
Journal
Nature Methods
Publisher
Nature Publishing Group
Citation
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.
Version
Author's final manuscript
Abstract
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.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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DOI of Published Version
https://doi.org/10.1038/nmeth.1984
