DeepSinse: deep learning-based detection of single molecules.

Journal: Bioinformatics (Oxford, England)
Published Date: Nov 5, 2021

Abstract

MOTIVATION: Imaging single molecules has emerged as a powerful characterization tool in the biological sciences. The detection of these under various noise conditions requires the use of algorithms that are dependent on the end-user inputting several parameters, the choice of which can be challenging and subjective.

Authors

  • John S H Danial
    Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, UK.
  • Raed Shalaby
    Institute of Genetics, University of Cologne, Cologne D-50674, Germany.
  • Katia Cosentino
    Department of Biology, University of Osnabruck, Osnabruck 49076, Germany.
  • Marwa M Mahmoud
    Department of Computer Science, University of Cambridge, Cambridge CB3 0FD, UK.
  • Fady Medhat
    Department of Computer Science, University of York, York YO10 5GH, UK.
  • David Klenerman
    Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, UK.
  • Ana J Garcia Saez
    Institute of Genetics, University of Cologne, Cologne D-50674, Germany.

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