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Deep‐MSIM: Fast Image Reconstruction with Deep Learning in Multifocal Structured Illumination Microscopy (Adv. Sci. 27/2023)

Deep Learning In article number 2300947, Jia Li, Junle Qu, and their co‐workers develop a deep‐learning‐based reconstruction algorithm for multifocal structured illumination microscopy to obtain the super‐resolution image. It is validated on diverse biological structures and very fast, showing the p...

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Detalles Bibliográficos
Autores principales: Liao, Jianhui, Zhang, Chenshuang, Xu, Xiangcong, Zhou, Liangliang, Yu, Bin, Lin, Danying, Li, Jia, Qu, Junle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10520651/
http://dx.doi.org/10.1002/advs.202370185
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author Liao, Jianhui
Zhang, Chenshuang
Xu, Xiangcong
Zhou, Liangliang
Yu, Bin
Lin, Danying
Li, Jia
Qu, Junle
author_facet Liao, Jianhui
Zhang, Chenshuang
Xu, Xiangcong
Zhou, Liangliang
Yu, Bin
Lin, Danying
Li, Jia
Qu, Junle
author_sort Liao, Jianhui
collection PubMed
description Deep Learning In article number 2300947, Jia Li, Junle Qu, and their co‐workers develop a deep‐learning‐based reconstruction algorithm for multifocal structured illumination microscopy to obtain the super‐resolution image. It is validated on diverse biological structures and very fast, showing the potential for real‐time reconstruction, without compromising spatial resolution. [Image: see text]
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spelling pubmed-105206512023-09-27 Deep‐MSIM: Fast Image Reconstruction with Deep Learning in Multifocal Structured Illumination Microscopy (Adv. Sci. 27/2023) Liao, Jianhui Zhang, Chenshuang Xu, Xiangcong Zhou, Liangliang Yu, Bin Lin, Danying Li, Jia Qu, Junle Adv Sci (Weinh) Frontispiece Deep Learning In article number 2300947, Jia Li, Junle Qu, and their co‐workers develop a deep‐learning‐based reconstruction algorithm for multifocal structured illumination microscopy to obtain the super‐resolution image. It is validated on diverse biological structures and very fast, showing the potential for real‐time reconstruction, without compromising spatial resolution. [Image: see text] John Wiley and Sons Inc. 2023-09-26 /pmc/articles/PMC10520651/ http://dx.doi.org/10.1002/advs.202370185 Text en © 2023 Wiley‐VCH GmbH https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Frontispiece
Liao, Jianhui
Zhang, Chenshuang
Xu, Xiangcong
Zhou, Liangliang
Yu, Bin
Lin, Danying
Li, Jia
Qu, Junle
Deep‐MSIM: Fast Image Reconstruction with Deep Learning in Multifocal Structured Illumination Microscopy (Adv. Sci. 27/2023)
title Deep‐MSIM: Fast Image Reconstruction with Deep Learning in Multifocal Structured Illumination Microscopy (Adv. Sci. 27/2023)
title_full Deep‐MSIM: Fast Image Reconstruction with Deep Learning in Multifocal Structured Illumination Microscopy (Adv. Sci. 27/2023)
title_fullStr Deep‐MSIM: Fast Image Reconstruction with Deep Learning in Multifocal Structured Illumination Microscopy (Adv. Sci. 27/2023)
title_full_unstemmed Deep‐MSIM: Fast Image Reconstruction with Deep Learning in Multifocal Structured Illumination Microscopy (Adv. Sci. 27/2023)
title_short Deep‐MSIM: Fast Image Reconstruction with Deep Learning in Multifocal Structured Illumination Microscopy (Adv. Sci. 27/2023)
title_sort deep‐msim: fast image reconstruction with deep learning in multifocal structured illumination microscopy (adv. sci. 27/2023)
topic Frontispiece
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10520651/
http://dx.doi.org/10.1002/advs.202370185
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