MiSiC, a general deep learning-based method for the high-throughput cell segmentation of complex bacterial communities

  1. Swapnesh Panigrahi
  2. Dorothée Murat
  3. Antoine Le Gall
  4. Eugénie Martineau
  5. Kelly Goldlust
  6. Jean-Bernard Fiche
  7. Sara Rombouts
  8. Marcelo Nöllmann​
  9. Leon Espinosa
  10. Tâm Mignot  Is a corresponding author
  1. CNRS-Aix Marseille University, France
  2. CNRS UMR 5048, INSERM U1054, Université de Montpellier, France
  3. Aix Marseille Université, France

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  1. Version of Record published
  2. Accepted Manuscript published
  3. Accepted
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  5. Preprint posted

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  1. Swapnesh Panigrahi
  2. Dorothée Murat
  3. Antoine Le Gall
  4. Eugénie Martineau
  5. Kelly Goldlust
  6. Jean-Bernard Fiche
  7. Sara Rombouts
  8. Marcelo Nöllmann​
  9. Leon Espinosa
  10. Tâm Mignot
(2021)
MiSiC, a general deep learning-based method for the high-throughput cell segmentation of complex bacterial communities
eLife 10:e65151.
https://doi.org/10.7554/eLife.65151

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https://doi.org/10.7554/eLife.65151