AI-powered transmitted light microscopy for functional analysis of live cells

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 subce...

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Detalles Bibliográficos
Autores principales: Kim, Dongyoung, Min, Yoohong, Oh, Jung Min, Cho, Yoon-Kyoung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6895055/
https://www.ncbi.nlm.nih.gov/pubmed/31804589
http://dx.doi.org/10.1038/s41598-019-54961-x
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author Kim, Dongyoung
Min, Yoohong
Oh, Jung Min
Cho, Yoon-Kyoung
author_facet Kim, Dongyoung
Min, Yoohong
Oh, Jung Min
Cho, Yoon-Kyoung
author_sort Kim, Dongyoung
collection PubMed
description 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.
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spelling pubmed-68950552019-12-11 AI-powered transmitted light microscopy for functional analysis of live cells Kim, Dongyoung Min, Yoohong Oh, Jung Min Cho, Yoon-Kyoung Sci Rep Article 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. Nature Publishing Group UK 2019-12-05 /pmc/articles/PMC6895055/ /pubmed/31804589 http://dx.doi.org/10.1038/s41598-019-54961-x Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Kim, Dongyoung
Min, Yoohong
Oh, Jung Min
Cho, Yoon-Kyoung
AI-powered transmitted light microscopy for functional analysis of live cells
title AI-powered transmitted light microscopy for functional analysis of live cells
title_full AI-powered transmitted light microscopy for functional analysis of live cells
title_fullStr AI-powered transmitted light microscopy for functional analysis of live cells
title_full_unstemmed AI-powered transmitted light microscopy for functional analysis of live cells
title_short AI-powered transmitted light microscopy for functional analysis of live cells
title_sort ai-powered transmitted light microscopy for functional analysis of live cells
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6895055/
https://www.ncbi.nlm.nih.gov/pubmed/31804589
http://dx.doi.org/10.1038/s41598-019-54961-x
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