Whole-brain tissue mapping toolkit using large-scale highly multiplexed immunofluorescence imaging and deep neural networks

It is challenging to map complex processes in brain tissue. Here the authors report a toolkit enabling large-scale multiplexed IHC and automated cell classification whereby they use a conventional epifluorescence microscope and deep neural networks to phenotype all major cell classes of the brain.

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Autores principales:	Dragan Maric, Jahandar Jahanipour, Xiaoyang Rebecca Li, Aditi Singh, Aryan Mobiny, Hien Van Nguyen, Andrea Sedlock, Kedar Grama, Badrinath Roysam
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/141fd0786f3a48a8b0d559b8d4a15b41
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spelling	oai:doaj.org-article:141fd0786f3a48a8b0d559b8d4a15b412021-12-02T13:14:53ZWhole-brain tissue mapping toolkit using large-scale highly multiplexed immunofluorescence imaging and deep neural networks10.1038/s41467-021-21735-x2041-1723https://doaj.org/article/141fd0786f3a48a8b0d559b8d4a15b412021-03-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-21735-xhttps://doaj.org/toc/2041-1723It is challenging to map complex processes in brain tissue. Here the authors report a toolkit enabling large-scale multiplexed IHC and automated cell classification whereby they use a conventional epifluorescence microscope and deep neural networks to phenotype all major cell classes of the brain.Dragan MaricJahandar JahanipourXiaoyang Rebecca LiAditi SinghAryan MobinyHien Van NguyenAndrea SedlockKedar GramaBadrinath RoysamNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Dragan Maric Jahandar Jahanipour Xiaoyang Rebecca Li Aditi Singh Aryan Mobiny Hien Van Nguyen Andrea Sedlock Kedar Grama Badrinath Roysam Whole-brain tissue mapping toolkit using large-scale highly multiplexed immunofluorescence imaging and deep neural networks
description	It is challenging to map complex processes in brain tissue. Here the authors report a toolkit enabling large-scale multiplexed IHC and automated cell classification whereby they use a conventional epifluorescence microscope and deep neural networks to phenotype all major cell classes of the brain.
format	article
author	Dragan Maric Jahandar Jahanipour Xiaoyang Rebecca Li Aditi Singh Aryan Mobiny Hien Van Nguyen Andrea Sedlock Kedar Grama Badrinath Roysam
author_facet	Dragan Maric Jahandar Jahanipour Xiaoyang Rebecca Li Aditi Singh Aryan Mobiny Hien Van Nguyen Andrea Sedlock Kedar Grama Badrinath Roysam
author_sort	Dragan Maric
title	Whole-brain tissue mapping toolkit using large-scale highly multiplexed immunofluorescence imaging and deep neural networks
title_short	Whole-brain tissue mapping toolkit using large-scale highly multiplexed immunofluorescence imaging and deep neural networks
title_full	Whole-brain tissue mapping toolkit using large-scale highly multiplexed immunofluorescence imaging and deep neural networks
title_fullStr	Whole-brain tissue mapping toolkit using large-scale highly multiplexed immunofluorescence imaging and deep neural networks
title_full_unstemmed	Whole-brain tissue mapping toolkit using large-scale highly multiplexed immunofluorescence imaging and deep neural networks
title_sort	whole-brain tissue mapping toolkit using large-scale highly multiplexed immunofluorescence imaging and deep neural networks
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/141fd0786f3a48a8b0d559b8d4a15b41
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Whole-brain tissue mapping toolkit using large-scale highly multiplexed immunofluorescence imaging and deep neural networks

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