Utilizing supervised machine learning to identify microglia and astrocytes in situ: implications for large-scale image analysis and quantification.

Journal: Journal of neuroscience methods
PMID: 31494186

Abstract

BACKGROUND: The evaluation of histological tissue samples plays a crucial role in deciphering preclinical disease and injury mechanisms. High-resolution images can be obtained quickly however data acquisition are often bottlenecked by manual analysis methodologies.

Authors

  • M Liu
    School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, 150090, China.
  • J Ylanko
    Sunnybrook Research Institute, Biological Sciences Platform, Toronto, ON, Canada.
  • E Weekman
    Sunnybrook Research Institute, Biological Sciences Platform, Toronto, ON, Canada.
  • T Beckett
    Sunnybrook Research Institute, Biological Sciences Platform, Toronto, ON, Canada.
  • D Andrews
    Sunnybrook Research Institute, Biological Sciences Platform, Toronto, ON, Canada; University of Toronto, Department of Biochemistry, Toronto, ON, Canada; University of Toronto, Department of Medical Biophysics, Toronto, ON, Canada.
  • J McLaurin
    University of Toronto, Department of Laboratory Medicine and Pathobiology, Toronto, ON, Canada; Sunnybrook Research Institute, Biological Sciences Platform, Toronto, ON, Canada.

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