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Quantifying Mesoscale Neuroanatomy Using X-Ray Microtomography
Methods for resolving the three-dimensional (3D) microstructure of the brain typically start by thinly slicing and staining the brain, followed by imaging numerous individual sections with visible light photons or electrons. In contrast, X-rays can be used to image thick samples, providing a rapid a...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society for Neuroscience
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5659258/ https://www.ncbi.nlm.nih.gov/pubmed/29085899 http://dx.doi.org/10.1523/ENEURO.0195-17.2017 |
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author | Dyer, Eva L. Gray Roncal, William Prasad, Judy A. Fernandes, Hugo L. Gürsoy, Doga De Andrade, Vincent Fezzaa, Kamel Xiao, Xianghui Vogelstein, Joshua T. Jacobsen, Chris Körding, Konrad P. Kasthuri, Narayanan |
author_facet | Dyer, Eva L. Gray Roncal, William Prasad, Judy A. Fernandes, Hugo L. Gürsoy, Doga De Andrade, Vincent Fezzaa, Kamel Xiao, Xianghui Vogelstein, Joshua T. Jacobsen, Chris Körding, Konrad P. Kasthuri, Narayanan |
author_sort | Dyer, Eva L. |
collection | PubMed |
description | Methods for resolving the three-dimensional (3D) microstructure of the brain typically start by thinly slicing and staining the brain, followed by imaging numerous individual sections with visible light photons or electrons. In contrast, X-rays can be used to image thick samples, providing a rapid approach for producing large 3D brain maps without sectioning. Here we demonstrate the use of synchrotron X-ray microtomography (µCT) for producing mesoscale (∼1 µm (3) resolution) brain maps from millimeter-scale volumes of mouse brain. We introduce a pipeline for µCT-based brain mapping that develops and integrates methods for sample preparation, imaging, and automated segmentation of cells, blood vessels, and myelinated axons, in addition to statistical analyses of these brain structures. Our results demonstrate that X-ray tomography achieves rapid quantification of large brain volumes, complementing other brain mapping and connectomics efforts. |
format | Online Article Text |
id | pubmed-5659258 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Society for Neuroscience |
record_format | MEDLINE/PubMed |
spelling | pubmed-56592582017-10-30 Quantifying Mesoscale Neuroanatomy Using X-Ray Microtomography Dyer, Eva L. Gray Roncal, William Prasad, Judy A. Fernandes, Hugo L. Gürsoy, Doga De Andrade, Vincent Fezzaa, Kamel Xiao, Xianghui Vogelstein, Joshua T. Jacobsen, Chris Körding, Konrad P. Kasthuri, Narayanan eNeuro Methods/New Tools Methods for resolving the three-dimensional (3D) microstructure of the brain typically start by thinly slicing and staining the brain, followed by imaging numerous individual sections with visible light photons or electrons. In contrast, X-rays can be used to image thick samples, providing a rapid approach for producing large 3D brain maps without sectioning. Here we demonstrate the use of synchrotron X-ray microtomography (µCT) for producing mesoscale (∼1 µm (3) resolution) brain maps from millimeter-scale volumes of mouse brain. We introduce a pipeline for µCT-based brain mapping that develops and integrates methods for sample preparation, imaging, and automated segmentation of cells, blood vessels, and myelinated axons, in addition to statistical analyses of these brain structures. Our results demonstrate that X-ray tomography achieves rapid quantification of large brain volumes, complementing other brain mapping and connectomics efforts. Society for Neuroscience 2017-10-16 /pmc/articles/PMC5659258/ /pubmed/29085899 http://dx.doi.org/10.1523/ENEURO.0195-17.2017 Text en Copyright © 2017 Dyer et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed. |
spellingShingle | Methods/New Tools Dyer, Eva L. Gray Roncal, William Prasad, Judy A. Fernandes, Hugo L. Gürsoy, Doga De Andrade, Vincent Fezzaa, Kamel Xiao, Xianghui Vogelstein, Joshua T. Jacobsen, Chris Körding, Konrad P. Kasthuri, Narayanan Quantifying Mesoscale Neuroanatomy Using X-Ray Microtomography |
title | Quantifying Mesoscale Neuroanatomy Using X-Ray Microtomography |
title_full | Quantifying Mesoscale Neuroanatomy Using X-Ray Microtomography |
title_fullStr | Quantifying Mesoscale Neuroanatomy Using X-Ray Microtomography |
title_full_unstemmed | Quantifying Mesoscale Neuroanatomy Using X-Ray Microtomography |
title_short | Quantifying Mesoscale Neuroanatomy Using X-Ray Microtomography |
title_sort | quantifying mesoscale neuroanatomy using x-ray microtomography |
topic | Methods/New Tools |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5659258/ https://www.ncbi.nlm.nih.gov/pubmed/29085899 http://dx.doi.org/10.1523/ENEURO.0195-17.2017 |
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