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Cho, Yoon-Kyoung
FRUITS Lab.
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AI-powered transmitted light microscopy for functional analysis of live cells

Author(s)
Kim, DongyoungMin, YoohongOh, Jung MinCho, Yoon-Kyoung
Issued Date
2019-12
DOI
10.1038/s41598-019-54961-x
URI
https://scholarworks.unist.ac.kr/handle/201301/30596
Fulltext
https://www.nature.com/articles/s41598-019-54961-x
Citation
SCIENTIFIC REPORTS, v.9, pp.18428
Abstract
Transmitted light microscopy can readily visualize the morphology of living cells. Here, we introduce artificial-intelligence-powered transmitted light microscopy (AIM) for subcellular structure identification and labeling-free functional analysis of live cells. AIM provides accurate images of subcellular organelles; allows identification of cellular and functional characteristics (cell type, viability, and maturation stage); and facilitates live cell tracking and multimodality analysis of immune cells in their native form without labeling.
Publisher
Nature Publishing Group
ISSN
2045-2322
Keyword
DENDRITIC CELLSCLASSIFICATIONSTRATEGIES

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