Research ArticleComputational Biology

Automated identification of abnormal respiratory ciliary motion in nasal biopsies

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Science Translational Medicine  05 Aug 2015:
Vol. 7, Issue 299, pp. 299ra124
DOI: 10.1126/scitranslmed.aaa1233

Article Information

vol. 7 no. 299 299ra124

PubMed: 
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History: 
  • Received for publication October 20, 2014
  • Accepted for publication July 2, 2015
  • .

Author Information

  1. Shannon P. Quinn1,2,*,
  2. Maliha J. Zahid3,
  3. John R. Durkin4,
  4. Richard J. Francis3,
  5. Cecilia W. Lo3, and
  6. S. Chakra Chennubhotla2,
  1. 1Joint Carnegie Mellon–University of Pittsburgh Ph.D. Program in Computational Biology, Department of Computation and Systems Biology, University of Pittsburgh, Pittsburgh, PA 15260, USA.
  2. 2Department of Computational and Systems Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15260, USA.
  3. 3Department of Developmental Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15201, USA.
  4. 4University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA.
  1. Corresponding author. E-mail: cel36{at}pitt.edu (C.W.L.); chakracs{at}pitt.edu (S.C.C.)
  • * Present address: Departments of Computer Science and Cellular Biology, University of Georgia, Athens, GA 30602, USA.

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