Morphology-Guided Graph Search for Untangling Objects: C. elegans Analysis

We present a novel approach for extracting cluttered objects based on their morphological properties. Specifically, we address the problem of untangling Caenorhabditis elegans clusters in high-throughput screening experiments. We represent the skeleton of each worm cluster by a sparse directed graph...

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Bibliographic Details
Main Authors: Raviv, T. Riklin, Ljosa, V., Conery, Annie L., Ausubel, Frederick M., Carpenter, Anne E., Golland, Polina, Wahlby, C.
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Springer-Verlag Berlin Heidelberg 2014
Online Access:http://hdl.handle.net/1721.1/86959
https://orcid.org/0000-0003-2516-731X