• Corpus ID: 233307439

An Exact Hypergraph Matching Algorithm for Nuclear Identification in Embryonic Caenorhabditis elegans

@article{Lauziere2021AnEH,
  title={An Exact Hypergraph Matching Algorithm for Nuclear Identification in Embryonic Caenorhabditis elegans},
  author={Andrew Lauziere and Ryan Christensen and Hari Shroff and Radu V. Balan},
  journal={ArXiv},
  year={2021},
  volume={abs/2104.10003}
}
together act as fiducial markers to approximate the coiled embryo’s posture, serving as a frame of reference to track cells of various tissues during late-stage embryogenesis [10]. Current approaches to posture identification rely on time-consuming manual efforts by trained users which limits the efficiency of subsequent cell tracking. EHGM with biologically inspired hypergraphical models identifies posture more accurately than established point-set matching methods, correctly identifying twice as… 
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