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Intravital 3D visualization and segmentation of murine neural networks at micron resolution
Optical coherence tomography (OCT) allows label-free, micron-scale 3D imaging of biological tissues’ fine structures with significant depth and large field-of-view. Here we introduce a novel OCT-based neuroimaging setting, accompanied by a feature segmentation algorithm, which enables rapid, accurat...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9338956/ https://www.ncbi.nlm.nih.gov/pubmed/35907928 http://dx.doi.org/10.1038/s41598-022-14450-0 |
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author | Lautman, Ziv Winetraub, Yonatan Blacher, Eran Yu, Caroline Terem, Itamar Chibukhchyan, Adelaida Marshel, James H. de la Zerda, Adam |
author_facet | Lautman, Ziv Winetraub, Yonatan Blacher, Eran Yu, Caroline Terem, Itamar Chibukhchyan, Adelaida Marshel, James H. de la Zerda, Adam |
author_sort | Lautman, Ziv |
collection | PubMed |
description | Optical coherence tomography (OCT) allows label-free, micron-scale 3D imaging of biological tissues’ fine structures with significant depth and large field-of-view. Here we introduce a novel OCT-based neuroimaging setting, accompanied by a feature segmentation algorithm, which enables rapid, accurate, and high-resolution in vivo imaging of 700 μm depth across the mouse cortex. Using a commercial OCT device, we demonstrate 3D reconstruction of microarchitectural elements through a cortical column. Our system is sensitive to structural and cellular changes at micron-scale resolution in vivo, such as those from injury or disease. Therefore, it can serve as a tool to visualize and quantify spatiotemporal brain elasticity patterns. This highly transformative and versatile platform allows accurate investigation of brain cellular architectural changes by quantifying features such as brain cell bodies’ density, volume, and average distance to the nearest cell. Hence, it may assist in longitudinal studies of microstructural tissue alteration in aging, injury, or disease in a living rodent brain. |
format | Online Article Text |
id | pubmed-9338956 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-93389562022-08-01 Intravital 3D visualization and segmentation of murine neural networks at micron resolution Lautman, Ziv Winetraub, Yonatan Blacher, Eran Yu, Caroline Terem, Itamar Chibukhchyan, Adelaida Marshel, James H. de la Zerda, Adam Sci Rep Article Optical coherence tomography (OCT) allows label-free, micron-scale 3D imaging of biological tissues’ fine structures with significant depth and large field-of-view. Here we introduce a novel OCT-based neuroimaging setting, accompanied by a feature segmentation algorithm, which enables rapid, accurate, and high-resolution in vivo imaging of 700 μm depth across the mouse cortex. Using a commercial OCT device, we demonstrate 3D reconstruction of microarchitectural elements through a cortical column. Our system is sensitive to structural and cellular changes at micron-scale resolution in vivo, such as those from injury or disease. Therefore, it can serve as a tool to visualize and quantify spatiotemporal brain elasticity patterns. This highly transformative and versatile platform allows accurate investigation of brain cellular architectural changes by quantifying features such as brain cell bodies’ density, volume, and average distance to the nearest cell. Hence, it may assist in longitudinal studies of microstructural tissue alteration in aging, injury, or disease in a living rodent brain. Nature Publishing Group UK 2022-07-30 /pmc/articles/PMC9338956/ /pubmed/35907928 http://dx.doi.org/10.1038/s41598-022-14450-0 Text en © The Author(s) 2022 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Lautman, Ziv Winetraub, Yonatan Blacher, Eran Yu, Caroline Terem, Itamar Chibukhchyan, Adelaida Marshel, James H. de la Zerda, Adam Intravital 3D visualization and segmentation of murine neural networks at micron resolution |
title | Intravital 3D visualization and segmentation of murine neural networks at micron resolution |
title_full | Intravital 3D visualization and segmentation of murine neural networks at micron resolution |
title_fullStr | Intravital 3D visualization and segmentation of murine neural networks at micron resolution |
title_full_unstemmed | Intravital 3D visualization and segmentation of murine neural networks at micron resolution |
title_short | Intravital 3D visualization and segmentation of murine neural networks at micron resolution |
title_sort | intravital 3d visualization and segmentation of murine neural networks at micron resolution |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9338956/ https://www.ncbi.nlm.nih.gov/pubmed/35907928 http://dx.doi.org/10.1038/s41598-022-14450-0 |
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