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Multi-Scale Light-Sheet Fluorescence Microscopy for Fast Whole Brain Imaging
Whole-brain imaging has become an increasingly important approach to investigate neural structures, such as somata distribution, dendritic morphology, and axonal projection patterns. Different structures require whole-brain imaging at different resolutions. Thus, it is highly desirable to perform wh...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8497830/ https://www.ncbi.nlm.nih.gov/pubmed/34630049 http://dx.doi.org/10.3389/fnana.2021.732464 |
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author | Zhang, Zhouzhou Yao, Xiao Yin, Xinxin Ding, Zhangcan Huang, Tianyi Huo, Yan Ji, Runan Peng, Hanchuan Guo, Zengcai V. |
author_facet | Zhang, Zhouzhou Yao, Xiao Yin, Xinxin Ding, Zhangcan Huang, Tianyi Huo, Yan Ji, Runan Peng, Hanchuan Guo, Zengcai V. |
author_sort | Zhang, Zhouzhou |
collection | PubMed |
description | Whole-brain imaging has become an increasingly important approach to investigate neural structures, such as somata distribution, dendritic morphology, and axonal projection patterns. Different structures require whole-brain imaging at different resolutions. Thus, it is highly desirable to perform whole-brain imaging at multiple scales. Imaging a complete mammalian brain at synaptic resolution is especially challenging, as it requires continuous imaging from days to weeks because of the large number of voxels to sample, and it is difficult to acquire a constant quality of imaging because of light scattering during in toto imaging. Here, we reveal that light-sheet microscopy has a unique advantage over wide-field microscopy in multi-scale imaging because of its decoupling of illumination and detection. Based on this observation, we have developed a multi-scale light-sheet microscope that combines tiling of light-sheet, automatic zooming, periodic sectioning, and tissue expansion to achieve a constant quality of brain-wide imaging from cellular (3 μm × 3 μm × 8 μm) to sub-micron (0.3 μm × 0.3 μm × 1 μm) spatial resolution rapidly (all within a few hours). We demonstrated the strength of the system by testing it using mouse brains prepared using different clearing approaches. We were able to track electrode tracks as well as axonal projections at sub-micron resolution to trace the full morphology of single medial prefrontal cortex (mPFC) neurons that have remarkable diversity in long-range projections. |
format | Online Article Text |
id | pubmed-8497830 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84978302021-10-09 Multi-Scale Light-Sheet Fluorescence Microscopy for Fast Whole Brain Imaging Zhang, Zhouzhou Yao, Xiao Yin, Xinxin Ding, Zhangcan Huang, Tianyi Huo, Yan Ji, Runan Peng, Hanchuan Guo, Zengcai V. Front Neuroanat Neuroanatomy Whole-brain imaging has become an increasingly important approach to investigate neural structures, such as somata distribution, dendritic morphology, and axonal projection patterns. Different structures require whole-brain imaging at different resolutions. Thus, it is highly desirable to perform whole-brain imaging at multiple scales. Imaging a complete mammalian brain at synaptic resolution is especially challenging, as it requires continuous imaging from days to weeks because of the large number of voxels to sample, and it is difficult to acquire a constant quality of imaging because of light scattering during in toto imaging. Here, we reveal that light-sheet microscopy has a unique advantage over wide-field microscopy in multi-scale imaging because of its decoupling of illumination and detection. Based on this observation, we have developed a multi-scale light-sheet microscope that combines tiling of light-sheet, automatic zooming, periodic sectioning, and tissue expansion to achieve a constant quality of brain-wide imaging from cellular (3 μm × 3 μm × 8 μm) to sub-micron (0.3 μm × 0.3 μm × 1 μm) spatial resolution rapidly (all within a few hours). We demonstrated the strength of the system by testing it using mouse brains prepared using different clearing approaches. We were able to track electrode tracks as well as axonal projections at sub-micron resolution to trace the full morphology of single medial prefrontal cortex (mPFC) neurons that have remarkable diversity in long-range projections. Frontiers Media S.A. 2021-09-24 /pmc/articles/PMC8497830/ /pubmed/34630049 http://dx.doi.org/10.3389/fnana.2021.732464 Text en Copyright © 2021 Zhang, Yao, Yin, Ding, Huang, Huo, Ji, Peng and Guo. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroanatomy Zhang, Zhouzhou Yao, Xiao Yin, Xinxin Ding, Zhangcan Huang, Tianyi Huo, Yan Ji, Runan Peng, Hanchuan Guo, Zengcai V. Multi-Scale Light-Sheet Fluorescence Microscopy for Fast Whole Brain Imaging |
title | Multi-Scale Light-Sheet Fluorescence Microscopy for Fast Whole Brain Imaging |
title_full | Multi-Scale Light-Sheet Fluorescence Microscopy for Fast Whole Brain Imaging |
title_fullStr | Multi-Scale Light-Sheet Fluorescence Microscopy for Fast Whole Brain Imaging |
title_full_unstemmed | Multi-Scale Light-Sheet Fluorescence Microscopy for Fast Whole Brain Imaging |
title_short | Multi-Scale Light-Sheet Fluorescence Microscopy for Fast Whole Brain Imaging |
title_sort | multi-scale light-sheet fluorescence microscopy for fast whole brain imaging |
topic | Neuroanatomy |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8497830/ https://www.ncbi.nlm.nih.gov/pubmed/34630049 http://dx.doi.org/10.3389/fnana.2021.732464 |
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