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Deep learning for high-throughput quantification of oligodendrocyte ensheathment at single-cell resolution.
Xu, Yu Kang T; Chitsaz, Daryan; Brown, Robert A; Cui, Qiao Ling; Dabarno, Matthew A; Antel, Jack P; Kennedy, Timothy E.
Affiliation
  • Xu YKT; McGill Program in Neuroengineering, Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, H3A 2B4 Montreal, QC Canada.
  • Chitsaz D; McGill Program in Neuroengineering, Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, H3A 2B4 Montreal, QC Canada.
  • Brown RA; McGill Program in Neuroengineering, Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, H3A 2B4 Montreal, QC Canada.
  • Cui QL; McGill Program in Neuroengineering, Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, H3A 2B4 Montreal, QC Canada.
  • Dabarno MA; McGill Program in Neuroengineering, Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, H3A 2B4 Montreal, QC Canada.
  • Antel JP; McGill Program in Neuroengineering, Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, H3A 2B4 Montreal, QC Canada.
  • Kennedy TE; McGill Program in Neuroengineering, Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, H3A 2B4 Montreal, QC Canada.
Commun Biol ; 2: 116, 2019.
Article in En | MEDLINE | ID: mdl-30937398
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Oligodendroglia / Single-Cell Analysis / Deep Learning / Myelin Sheath Type of study: Guideline / Prognostic_studies Limits: Animals Language: En Journal: Commun Biol Year: 2019 Document type: Article Country of publication: United kingdom
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Oligodendroglia / Single-Cell Analysis / Deep Learning / Myelin Sheath Type of study: Guideline / Prognostic_studies Limits: Animals Language: En Journal: Commun Biol Year: 2019 Document type: Article Country of publication: United kingdom