AI-powered transmitted light microscopy for functional analysis of live cells
Cited 0 times inCited 0 times in
- AI-powered transmitted light microscopy for functional analysis of live cells
- Kim, Dongyoung; Min, Yoohong; Oh, Jung Min; Cho, Yoon-Kyoung
- Issue Date
- Nature Publishing Group
- SCIENTIFIC REPORTS, v.9, pp.18428
- 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.
- Appears in Collections:
- BME_Journal Papers
- Files in This Item:
can give you direct access to the published full text of this article. (UNISTARs only)
Show full item record
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.