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Cho, Yoon-Kyoung
FRUITS Lab.
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dc.citation.startPage 18428 -
dc.citation.title SCIENTIFIC REPORTS -
dc.citation.volume 9 -
dc.contributor.author Kim, Dongyoung -
dc.contributor.author Min, Yoohong -
dc.contributor.author Oh, Jung Min -
dc.contributor.author Cho, Yoon-Kyoung -
dc.date.accessioned 2023-12-21T18:15:17Z -
dc.date.available 2023-12-21T18:15:17Z -
dc.date.created 2019-12-16 -
dc.date.issued 2019-12 -
dc.description.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. -
dc.identifier.bibliographicCitation SCIENTIFIC REPORTS, v.9, pp.18428 -
dc.identifier.doi 10.1038/s41598-019-54961-x -
dc.identifier.issn 2045-2322 -
dc.identifier.scopusid 2-s2.0-85076092769 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/30596 -
dc.identifier.url https://www.nature.com/articles/s41598-019-54961-x -
dc.identifier.wosid 000501580900001 -
dc.language 영어 -
dc.publisher Nature Publishing Group -
dc.title AI-powered transmitted light microscopy for functional analysis of live cells -
dc.type Article -
dc.description.isOpenAccess TRUE -
dc.relation.journalWebOfScienceCategory Multidisciplinary Sciences -
dc.relation.journalResearchArea Science & Technology - Other Topics -
dc.type.docType Article -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordPlus DENDRITIC CELLS -
dc.subject.keywordPlus CLASSIFICATION -
dc.subject.keywordPlus STRATEGIES -

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