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Simultaneous 3D Visualization of the Microvascular and Neural Network in Mouse Spinal Cord Using Synchrotron Radiation Micro-Computed Tomography

Effective methods for visualizing neurovascular morphology are essential for understanding the normal spinal cord and the morphological alterations associated with diseases. However, ideal techniques for simultaneously imaging neurovascular structure in a broad region of a specimen are still lacking...

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Autores principales: Jiang, Liyuan, Li, Chengjun, Li, Miao, Yin, Xianzhen, Wu, Tianding, Duan, Chunyue, Cao, Yong, Lu, Hongbin, Hu, Jianzhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8490558/
https://www.ncbi.nlm.nih.gov/pubmed/34146232
http://dx.doi.org/10.1007/s12264-021-00715-7
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author Jiang, Liyuan
Li, Chengjun
Li, Miao
Yin, Xianzhen
Wu, Tianding
Duan, Chunyue
Cao, Yong
Lu, Hongbin
Hu, Jianzhong
author_facet Jiang, Liyuan
Li, Chengjun
Li, Miao
Yin, Xianzhen
Wu, Tianding
Duan, Chunyue
Cao, Yong
Lu, Hongbin
Hu, Jianzhong
author_sort Jiang, Liyuan
collection PubMed
description Effective methods for visualizing neurovascular morphology are essential for understanding the normal spinal cord and the morphological alterations associated with diseases. However, ideal techniques for simultaneously imaging neurovascular structure in a broad region of a specimen are still lacking. In this study, we combined Golgi staining with angiography and synchrotron radiation micro-computed tomography (SRμCT) to visualize the 3D neurovascular network in the mouse spinal cord. Using our method, the 3D neurons, nerve fibers, and vasculature in a broad region could be visualized in the same image at cellular resolution without destructive sectioning. Besides, we found that the 3D morphology of neurons, nerve fiber tracts, and vasculature visualized by SRμCT were highly consistent with that visualized using the histological method. Moreover, the 3D neurovascular structure could be quantitatively evaluated by the combined methodology. The method shown here will be useful in fundamental neuroscience studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12264-021-00715-7.
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spelling pubmed-84905582021-10-15 Simultaneous 3D Visualization of the Microvascular and Neural Network in Mouse Spinal Cord Using Synchrotron Radiation Micro-Computed Tomography Jiang, Liyuan Li, Chengjun Li, Miao Yin, Xianzhen Wu, Tianding Duan, Chunyue Cao, Yong Lu, Hongbin Hu, Jianzhong Neurosci Bull Method Effective methods for visualizing neurovascular morphology are essential for understanding the normal spinal cord and the morphological alterations associated with diseases. However, ideal techniques for simultaneously imaging neurovascular structure in a broad region of a specimen are still lacking. In this study, we combined Golgi staining with angiography and synchrotron radiation micro-computed tomography (SRμCT) to visualize the 3D neurovascular network in the mouse spinal cord. Using our method, the 3D neurons, nerve fibers, and vasculature in a broad region could be visualized in the same image at cellular resolution without destructive sectioning. Besides, we found that the 3D morphology of neurons, nerve fiber tracts, and vasculature visualized by SRμCT were highly consistent with that visualized using the histological method. Moreover, the 3D neurovascular structure could be quantitatively evaluated by the combined methodology. The method shown here will be useful in fundamental neuroscience studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12264-021-00715-7. Springer Singapore 2021-06-19 /pmc/articles/PMC8490558/ /pubmed/34146232 http://dx.doi.org/10.1007/s12264-021-00715-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Method
Jiang, Liyuan
Li, Chengjun
Li, Miao
Yin, Xianzhen
Wu, Tianding
Duan, Chunyue
Cao, Yong
Lu, Hongbin
Hu, Jianzhong
Simultaneous 3D Visualization of the Microvascular and Neural Network in Mouse Spinal Cord Using Synchrotron Radiation Micro-Computed Tomography
title Simultaneous 3D Visualization of the Microvascular and Neural Network in Mouse Spinal Cord Using Synchrotron Radiation Micro-Computed Tomography
title_full Simultaneous 3D Visualization of the Microvascular and Neural Network in Mouse Spinal Cord Using Synchrotron Radiation Micro-Computed Tomography
title_fullStr Simultaneous 3D Visualization of the Microvascular and Neural Network in Mouse Spinal Cord Using Synchrotron Radiation Micro-Computed Tomography
title_full_unstemmed Simultaneous 3D Visualization of the Microvascular and Neural Network in Mouse Spinal Cord Using Synchrotron Radiation Micro-Computed Tomography
title_short Simultaneous 3D Visualization of the Microvascular and Neural Network in Mouse Spinal Cord Using Synchrotron Radiation Micro-Computed Tomography
title_sort simultaneous 3d visualization of the microvascular and neural network in mouse spinal cord using synchrotron radiation micro-computed tomography
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8490558/
https://www.ncbi.nlm.nih.gov/pubmed/34146232
http://dx.doi.org/10.1007/s12264-021-00715-7
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