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...

Full description

Bibliographic Details
Main Authors: Kamentsky, Lee (Author), Liu, Zihan H. (Author), Riklin-Raviv, Tammy (Contributor), Conery, Annie L. (Author), O'Rourke, Eyleen J. (Author), Sokolnicki, Katherine L. (Author), Visvikis, Orane (Author), Ljosa, Vebjorn (Author), Irazoqui, Javier E. (Author), Golland, Polina (Contributor), Ruvkun, Gary (Author), Ausubel, Frederick M. (Author), Carpenter, Anne E. (Author), Wahlby, Carolina (Author)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Nature Publishing Group, 2014-05-16T18:03:35Z.
Subjects:
Article
Online Access:Get fulltext

Internet

Get fulltext

Similar Items