Scientific Publications

RESOLVING CLUSTERED WORMS VIA PROBABILISTIC SHAPE MODELS.

Publication TypeJournal Article
AuthorsWählby, C., Riklin-Raviv T., Ljosa V., Conery AL, Golland P., Ausubel FM, and Carpenter AE
AbstractThe 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, such experiments have been limited to per-image measurements due to the tendency of the worms to cluster, which prevents extracting features from individual animals.We present a novel approach for the extraction of individual C. elegans from clusters of worms in high-throughput microscopy images. The key ideas are the construction of a low-dimensional shape-descriptor space and the definition of a probability measure on it. Promising segmentation results are shown.
Year of Publication2010
JournalProceedings / IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical Imaging
Volume2010
Issue14-17 April 2010
Pages552-555
Date Published (YYYY/MM/DD)2010/06/21
ISSN Number1945-7928
DOI10.1109/ISBI.2010.5490286
PubMedhttp://www.ncbi.nlm.nih.gov/pubmed/21383863?dopt=Abstract