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Sparse imaging and reconstruction tomography for high-speed high-resolution whole-brain imaging
Understanding brain functions requires detailed knowledge of long-range connectivity through which different areas communicate. A key step toward illuminating the long-range structures is to image the whole brain at synaptic resolution to trace axonal arbors of individual neurons to their termini. H...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9017159/ https://www.ncbi.nlm.nih.gov/pubmed/35474896 http://dx.doi.org/10.1016/j.crmeth.2021.100089 |
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author | Chen, Han Huang, Tianyi Yang, Yuexin Yao, Xiao Huo, Yan Wang, Yu Zhao, Wenyu Ji, Runan Yang, Hongjiang Guo, Zengcai V. |
author_facet | Chen, Han Huang, Tianyi Yang, Yuexin Yao, Xiao Huo, Yan Wang, Yu Zhao, Wenyu Ji, Runan Yang, Hongjiang Guo, Zengcai V. |
author_sort | Chen, Han |
collection | PubMed |
description | Understanding brain functions requires detailed knowledge of long-range connectivity through which different areas communicate. A key step toward illuminating the long-range structures is to image the whole brain at synaptic resolution to trace axonal arbors of individual neurons to their termini. However, high-resolution brain-wide imaging requires continuous imaging for many days to sample over 10 trillion voxels, even in the mouse brain. Here, we have developed a sparse imaging and reconstruction tomography (SMART) system that allows brain-wide imaging of cortical projection neurons at synaptic resolution in about 20 h, an order of magnitude faster than previous methods. Analyses of morphological features reveal that single cortical neurons show remarkable diversity in local and long-range projections, with prefrontal, premotor, and visual neurons having distinct distribution of dendritic and axonal features. The fast imaging system and diverse projection patterns of individual neurons highlight the importance of high-resolution brain-wide imaging in revealing full neuronal morphology. |
format | Online Article Text |
id | pubmed-9017159 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-90171592022-04-25 Sparse imaging and reconstruction tomography for high-speed high-resolution whole-brain imaging Chen, Han Huang, Tianyi Yang, Yuexin Yao, Xiao Huo, Yan Wang, Yu Zhao, Wenyu Ji, Runan Yang, Hongjiang Guo, Zengcai V. Cell Rep Methods Article Understanding brain functions requires detailed knowledge of long-range connectivity through which different areas communicate. A key step toward illuminating the long-range structures is to image the whole brain at synaptic resolution to trace axonal arbors of individual neurons to their termini. However, high-resolution brain-wide imaging requires continuous imaging for many days to sample over 10 trillion voxels, even in the mouse brain. Here, we have developed a sparse imaging and reconstruction tomography (SMART) system that allows brain-wide imaging of cortical projection neurons at synaptic resolution in about 20 h, an order of magnitude faster than previous methods. Analyses of morphological features reveal that single cortical neurons show remarkable diversity in local and long-range projections, with prefrontal, premotor, and visual neurons having distinct distribution of dendritic and axonal features. The fast imaging system and diverse projection patterns of individual neurons highlight the importance of high-resolution brain-wide imaging in revealing full neuronal morphology. Elsevier 2021-10-01 /pmc/articles/PMC9017159/ /pubmed/35474896 http://dx.doi.org/10.1016/j.crmeth.2021.100089 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Chen, Han Huang, Tianyi Yang, Yuexin Yao, Xiao Huo, Yan Wang, Yu Zhao, Wenyu Ji, Runan Yang, Hongjiang Guo, Zengcai V. Sparse imaging and reconstruction tomography for high-speed high-resolution whole-brain imaging |
title | Sparse imaging and reconstruction tomography for high-speed high-resolution whole-brain imaging |
title_full | Sparse imaging and reconstruction tomography for high-speed high-resolution whole-brain imaging |
title_fullStr | Sparse imaging and reconstruction tomography for high-speed high-resolution whole-brain imaging |
title_full_unstemmed | Sparse imaging and reconstruction tomography for high-speed high-resolution whole-brain imaging |
title_short | Sparse imaging and reconstruction tomography for high-speed high-resolution whole-brain imaging |
title_sort | sparse imaging and reconstruction tomography for high-speed high-resolution whole-brain imaging |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9017159/ https://www.ncbi.nlm.nih.gov/pubmed/35474896 http://dx.doi.org/10.1016/j.crmeth.2021.100089 |
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