An image analysis toolbox for high-throughput C. elegans assays

An image analysis toolbox for high-throughput C. elegans assays

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...

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Bibliographic Details
Main Authors: 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
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Nature Publishing Group 2014
Online Access:http://hdl.handle.net/1721.1/87039
https://orcid.org/0000-0003-2516-731X

Internet

http://hdl.handle.net/1721.1/87039
https://orcid.org/0000-0003-2516-731X

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