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Label-free prediction of three-dimensional fluorescence images from transmitted light microscopy

Understanding cells as integrated systems is a challenge central to modern biology. The different microscopy approaches used to probe biological organization each present limitations, ultimately restricting insight into unified cellular processes. Fluorescence microscopy can resolve subcellular stru...

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Detalles Bibliográficos
Autores principales: Ounkomol, Chawin, Seshamani, Sharmishtaa, Maleckar, Mary M., Collman, Forrest, Johnson, Gregory R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6212323/
https://www.ncbi.nlm.nih.gov/pubmed/30224672
http://dx.doi.org/10.1038/s41592-018-0111-2
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author Ounkomol, Chawin
Seshamani, Sharmishtaa
Maleckar, Mary M.
Collman, Forrest
Johnson, Gregory R.
author_facet Ounkomol, Chawin
Seshamani, Sharmishtaa
Maleckar, Mary M.
Collman, Forrest
Johnson, Gregory R.
author_sort Ounkomol, Chawin
collection PubMed
description Understanding cells as integrated systems is a challenge central to modern biology. The different microscopy approaches used to probe biological organization each present limitations, ultimately restricting insight into unified cellular processes. Fluorescence microscopy can resolve subcellular structure in living cells, but is expensive, slow, and toxic. Here, we present a label-free method for predicting 3D fluorescence directly from transmitted light images and demonstrate its use to generate multi-structure, integrated images.
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spelling pubmed-62123232019-03-17 Label-free prediction of three-dimensional fluorescence images from transmitted light microscopy Ounkomol, Chawin Seshamani, Sharmishtaa Maleckar, Mary M. Collman, Forrest Johnson, Gregory R. Nat Methods Article Understanding cells as integrated systems is a challenge central to modern biology. The different microscopy approaches used to probe biological organization each present limitations, ultimately restricting insight into unified cellular processes. Fluorescence microscopy can resolve subcellular structure in living cells, but is expensive, slow, and toxic. Here, we present a label-free method for predicting 3D fluorescence directly from transmitted light images and demonstrate its use to generate multi-structure, integrated images. 2018-09-17 2018-11 /pmc/articles/PMC6212323/ /pubmed/30224672 http://dx.doi.org/10.1038/s41592-018-0111-2 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Ounkomol, Chawin
Seshamani, Sharmishtaa
Maleckar, Mary M.
Collman, Forrest
Johnson, Gregory R.
Label-free prediction of three-dimensional fluorescence images from transmitted light microscopy
title Label-free prediction of three-dimensional fluorescence images from transmitted light microscopy
title_full Label-free prediction of three-dimensional fluorescence images from transmitted light microscopy
title_fullStr Label-free prediction of three-dimensional fluorescence images from transmitted light microscopy
title_full_unstemmed Label-free prediction of three-dimensional fluorescence images from transmitted light microscopy
title_short Label-free prediction of three-dimensional fluorescence images from transmitted light microscopy
title_sort label-free prediction of three-dimensional fluorescence images from transmitted light microscopy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6212323/
https://www.ncbi.nlm.nih.gov/pubmed/30224672
http://dx.doi.org/10.1038/s41592-018-0111-2
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