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Merged magnetic resonance and light sheet microscopy of the whole mouse brain
We have developed workflows to align 3D magnetic resonance histology (MRH) of the mouse brain with light sheet microscopy (LSM) and 3D delineations of the same specimen. We start with MRH of the brain in the skull with gradient echo and diffusion tensor imaging (DTI) at 15 μm isotropic resolution wh...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10151475/ https://www.ncbi.nlm.nih.gov/pubmed/37068254 http://dx.doi.org/10.1073/pnas.2218617120 |
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author | Johnson, G. Allan Tian, Yuqi Ashbrook, David G. Cofer, Gary P. Cook, James J. Gee, James C. Hall, Adam Hornburg, Kathryn Qi, Yi Yeh, Fang-Cheng Wang, Nian White, Leonard E. Williams, Robert W. |
author_facet | Johnson, G. Allan Tian, Yuqi Ashbrook, David G. Cofer, Gary P. Cook, James J. Gee, James C. Hall, Adam Hornburg, Kathryn Qi, Yi Yeh, Fang-Cheng Wang, Nian White, Leonard E. Williams, Robert W. |
author_sort | Johnson, G. Allan |
collection | PubMed |
description | We have developed workflows to align 3D magnetic resonance histology (MRH) of the mouse brain with light sheet microscopy (LSM) and 3D delineations of the same specimen. We start with MRH of the brain in the skull with gradient echo and diffusion tensor imaging (DTI) at 15 μm isotropic resolution which is ~ 1,000 times higher than that of most preclinical MRI. Connectomes are generated with superresolution tract density images of ~5 μm. Brains are cleared, stained for selected proteins, and imaged by LSM at 1.8 μm/pixel. LSM data are registered into the reference MRH space with labels derived from the ABA common coordinate framework. The result is a high-dimensional integrated volume with registration (HiDiver) with alignment precision better than 50 µm. Throughput is sufficiently high that HiDiver is being used in quantitative studies of the impact of gene variants and aging on mouse brain cytoarchitecture and connectomics. |
format | Online Article Text |
id | pubmed-10151475 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-101514752023-10-17 Merged magnetic resonance and light sheet microscopy of the whole mouse brain Johnson, G. Allan Tian, Yuqi Ashbrook, David G. Cofer, Gary P. Cook, James J. Gee, James C. Hall, Adam Hornburg, Kathryn Qi, Yi Yeh, Fang-Cheng Wang, Nian White, Leonard E. Williams, Robert W. Proc Natl Acad Sci U S A Physical Sciences We have developed workflows to align 3D magnetic resonance histology (MRH) of the mouse brain with light sheet microscopy (LSM) and 3D delineations of the same specimen. We start with MRH of the brain in the skull with gradient echo and diffusion tensor imaging (DTI) at 15 μm isotropic resolution which is ~ 1,000 times higher than that of most preclinical MRI. Connectomes are generated with superresolution tract density images of ~5 μm. Brains are cleared, stained for selected proteins, and imaged by LSM at 1.8 μm/pixel. LSM data are registered into the reference MRH space with labels derived from the ABA common coordinate framework. The result is a high-dimensional integrated volume with registration (HiDiver) with alignment precision better than 50 µm. Throughput is sufficiently high that HiDiver is being used in quantitative studies of the impact of gene variants and aging on mouse brain cytoarchitecture and connectomics. National Academy of Sciences 2023-04-17 2023-04-25 /pmc/articles/PMC10151475/ /pubmed/37068254 http://dx.doi.org/10.1073/pnas.2218617120 Text en Copyright © 2023 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Physical Sciences Johnson, G. Allan Tian, Yuqi Ashbrook, David G. Cofer, Gary P. Cook, James J. Gee, James C. Hall, Adam Hornburg, Kathryn Qi, Yi Yeh, Fang-Cheng Wang, Nian White, Leonard E. Williams, Robert W. Merged magnetic resonance and light sheet microscopy of the whole mouse brain |
title | Merged magnetic resonance and light sheet microscopy of the whole mouse brain |
title_full | Merged magnetic resonance and light sheet microscopy of the whole mouse brain |
title_fullStr | Merged magnetic resonance and light sheet microscopy of the whole mouse brain |
title_full_unstemmed | Merged magnetic resonance and light sheet microscopy of the whole mouse brain |
title_short | Merged magnetic resonance and light sheet microscopy of the whole mouse brain |
title_sort | merged magnetic resonance and light sheet microscopy of the whole mouse brain |
topic | Physical Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10151475/ https://www.ncbi.nlm.nih.gov/pubmed/37068254 http://dx.doi.org/10.1073/pnas.2218617120 |
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