Image-based phenotyping of disaggregated cells using deep learning.
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ABSTRACT:
SUBMITTER: Berryman S
PROVIDER: S-EPMC7666170 | biostudies-literature | 2020 Nov
REPOSITORIES: biostudies-literature
Publications
Image-based phenotyping of disaggregated cells using deep learning.
Berryman Samuel S Matthews Kerryn K Lee Jeong Hyun JH Duffy Simon P SP Ma Hongshen H
Communications biology 20201113 1
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 is unavailable or undesirable. Machine learning has been used for image cytometry but has been limited by cell agglomeration and it is currently unclear if this approach can reliably phenotype cells that are difficult to distinguish by the human eye. Here, we show disaggre ...[more]
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