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.; ... Show more
Thumbnail
DownloadGolland_An image.pdf (1.372Mb)
PUBLISHER_POLICY
Terms of use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Metadata
Show full item record
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.
Date issued
2012-04
URI
http://hdl.handle.net/1721.1/87039
Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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
ISSN
1548-7091
1548-7105
Collections