Samuel Berryman

ORCID: 0000-0001-7394-9688
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About
Contact & Profiles
Research Areas
  • Ion-surface interactions and analysis
  • Nanopore and Nanochannel Transport Studies
  • Digital Imaging for Blood Diseases
  • Cell Image Analysis Techniques
  • Geophysical and Geoelectrical Methods
  • Image Processing Techniques and Applications

University of British Columbia
2019

University of Ottawa
2019

Abstract The ability to phenotype cells is fundamentally important in biological research and medicine. Current methods rely primarily on fluorescence labeling of specific markers. However, there are many situations where this approach unavailable or undesirable. Machine learning has been used for image cytometry but limited by cell agglomeration it unclear if can reliably indistinguishable the human eye. Here, we show disaggregated single be phenotyped with a high degree accuracy using...

10.1101/817544 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2019-10-24
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