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