Resolving clustered worms via probabilistic shape models
The roundworm Caenorhabditis elegans is an effective model system for biological processes such as immunity, behavior, and metabolism. Robotic sample preparation together with automated microscopy and image analysis has recently enabled high-throughput screening experiments using C. elegans. So far,...
Main Authors: | Wahlby, Carolina (Author), Riklin-Raviv, Tammy (Contributor), Ljosa, Vebjorn (Author), Conery, Annie L. (Author), Golland, Polina (Contributor), Ausubel, Frederick M. (Author), Carpenter, Anne E. (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: |
Institute of Electrical and Electronics Engineers,
2011-05-11T15:41:12Z.
|
Subjects: | |
Online Access: | Get fulltext |
Similar Items
-
Morphology-Guided Graph Search for Untangling Objects: C. elegans Analysis
by: Raviv, T. Riklin, et al.
Published: (2014) -
An image analysis toolbox for high-throughput C. elegans assays
by: Kamentsky, Lee, et al.
Published: (2014) -
Introduction to the quantitative analysis of two-dimensional fluorescence microscopy images for cell-based screening.
by: Vebjorn Ljosa, et al.
Published: (2009-12-01) -
Joint Segmentation of Image Ensembles via Latent Atlases
by: Raviv, Tammy Riklin, et al.
Published: (2012) -
Segmentation of image ensembles via latent atlases
by: Riklin-Raviv, Tammy, et al.
Published: (2015)