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Super-resolution label-free volumetric vibrational imaging

Innovations in high-resolution optical imaging have allowed visualization of nanoscale biological structures and connections. However, super-resolution fluorescence techniques, including both optics-oriented and sample-expansion based, are limited in quantification and throughput especially in tissu...

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Autores principales: Qian, Chenxi, Miao, Kun, Lin, Li-En, Chen, Xinhong, Du, Jiajun, Wei, Lu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8206358/
https://www.ncbi.nlm.nih.gov/pubmed/34131146
http://dx.doi.org/10.1038/s41467-021-23951-x
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author Qian, Chenxi
Miao, Kun
Lin, Li-En
Chen, Xinhong
Du, Jiajun
Wei, Lu
author_facet Qian, Chenxi
Miao, Kun
Lin, Li-En
Chen, Xinhong
Du, Jiajun
Wei, Lu
author_sort Qian, Chenxi
collection PubMed
description Innovations in high-resolution optical imaging have allowed visualization of nanoscale biological structures and connections. However, super-resolution fluorescence techniques, including both optics-oriented and sample-expansion based, are limited in quantification and throughput especially in tissues from photobleaching or quenching of the fluorophores, and low-efficiency or non-uniform delivery of the probes. Here, we report a general sample-expansion vibrational imaging strategy, termed VISTA, for scalable label-free high-resolution interrogations of protein-rich biological structures with resolution down to 78 nm. VISTA achieves decent three-dimensional image quality through optimal retention of endogenous proteins, isotropic sample expansion, and deprivation of scattering lipids. Free from probe-labeling associated issues, VISTA offers unbiased and high-throughput tissue investigations. With correlative VISTA and immunofluorescence, we further validated the imaging specificity of VISTA and trained an image-segmentation model for label-free multi-component and volumetric prediction of nucleus, blood vessels, neuronal cells and dendrites in complex mouse brain tissues. VISTA could hence open new avenues for versatile biomedical studies.
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spelling pubmed-82063582021-07-01 Super-resolution label-free volumetric vibrational imaging Qian, Chenxi Miao, Kun Lin, Li-En Chen, Xinhong Du, Jiajun Wei, Lu Nat Commun Article Innovations in high-resolution optical imaging have allowed visualization of nanoscale biological structures and connections. However, super-resolution fluorescence techniques, including both optics-oriented and sample-expansion based, are limited in quantification and throughput especially in tissues from photobleaching or quenching of the fluorophores, and low-efficiency or non-uniform delivery of the probes. Here, we report a general sample-expansion vibrational imaging strategy, termed VISTA, for scalable label-free high-resolution interrogations of protein-rich biological structures with resolution down to 78 nm. VISTA achieves decent three-dimensional image quality through optimal retention of endogenous proteins, isotropic sample expansion, and deprivation of scattering lipids. Free from probe-labeling associated issues, VISTA offers unbiased and high-throughput tissue investigations. With correlative VISTA and immunofluorescence, we further validated the imaging specificity of VISTA and trained an image-segmentation model for label-free multi-component and volumetric prediction of nucleus, blood vessels, neuronal cells and dendrites in complex mouse brain tissues. VISTA could hence open new avenues for versatile biomedical studies. Nature Publishing Group UK 2021-06-15 /pmc/articles/PMC8206358/ /pubmed/34131146 http://dx.doi.org/10.1038/s41467-021-23951-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Qian, Chenxi
Miao, Kun
Lin, Li-En
Chen, Xinhong
Du, Jiajun
Wei, Lu
Super-resolution label-free volumetric vibrational imaging
title Super-resolution label-free volumetric vibrational imaging
title_full Super-resolution label-free volumetric vibrational imaging
title_fullStr Super-resolution label-free volumetric vibrational imaging
title_full_unstemmed Super-resolution label-free volumetric vibrational imaging
title_short Super-resolution label-free volumetric vibrational imaging
title_sort super-resolution label-free volumetric vibrational imaging
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8206358/
https://www.ncbi.nlm.nih.gov/pubmed/34131146
http://dx.doi.org/10.1038/s41467-021-23951-x
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