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A multimodal computational pipeline for 3D histology of the human brain
Ex vivo imaging enables analysis of the human brain at a level of detail that is not possible in vivo with MRI. In particular, histology can be used to study brain tissue at the microscopic level, using a wide array of different stains that highlight different microanatomical features. Complementing...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7429828/ https://www.ncbi.nlm.nih.gov/pubmed/32796937 http://dx.doi.org/10.1038/s41598-020-69163-z |
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author | Mancini, Matteo Casamitjana, Adrià Peter, Loic Robinson, Eleanor Crampsie, Shauna Thomas, David L. Holton, Janice L. Jaunmuktane, Zane Iglesias, Juan Eugenio |
author_facet | Mancini, Matteo Casamitjana, Adrià Peter, Loic Robinson, Eleanor Crampsie, Shauna Thomas, David L. Holton, Janice L. Jaunmuktane, Zane Iglesias, Juan Eugenio |
author_sort | Mancini, Matteo |
collection | PubMed |
description | Ex vivo imaging enables analysis of the human brain at a level of detail that is not possible in vivo with MRI. In particular, histology can be used to study brain tissue at the microscopic level, using a wide array of different stains that highlight different microanatomical features. Complementing MRI with histology has important applications in ex vivo atlas building and in modeling the link between microstructure and macroscopic MR signal. However, histology requires sectioning tissue, hence distorting its 3D structure, particularly in larger human samples. Here, we present an open-source computational pipeline to produce 3D consistent histology reconstructions of the human brain. The pipeline relies on a volumetric MRI scan that serves as undistorted reference, and on an intermediate imaging modality (blockface photography) that bridges the gap between MRI and histology. We present results on 3D histology reconstruction of whole human hemispheres from two donors. |
format | Online Article Text |
id | pubmed-7429828 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-74298282020-08-18 A multimodal computational pipeline for 3D histology of the human brain Mancini, Matteo Casamitjana, Adrià Peter, Loic Robinson, Eleanor Crampsie, Shauna Thomas, David L. Holton, Janice L. Jaunmuktane, Zane Iglesias, Juan Eugenio Sci Rep Article Ex vivo imaging enables analysis of the human brain at a level of detail that is not possible in vivo with MRI. In particular, histology can be used to study brain tissue at the microscopic level, using a wide array of different stains that highlight different microanatomical features. Complementing MRI with histology has important applications in ex vivo atlas building and in modeling the link between microstructure and macroscopic MR signal. However, histology requires sectioning tissue, hence distorting its 3D structure, particularly in larger human samples. Here, we present an open-source computational pipeline to produce 3D consistent histology reconstructions of the human brain. The pipeline relies on a volumetric MRI scan that serves as undistorted reference, and on an intermediate imaging modality (blockface photography) that bridges the gap between MRI and histology. We present results on 3D histology reconstruction of whole human hemispheres from two donors. Nature Publishing Group UK 2020-08-14 /pmc/articles/PMC7429828/ /pubmed/32796937 http://dx.doi.org/10.1038/s41598-020-69163-z Text en © The Author(s) 2020 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Mancini, Matteo Casamitjana, Adrià Peter, Loic Robinson, Eleanor Crampsie, Shauna Thomas, David L. Holton, Janice L. Jaunmuktane, Zane Iglesias, Juan Eugenio A multimodal computational pipeline for 3D histology of the human brain |
title | A multimodal computational pipeline for 3D histology of the human brain |
title_full | A multimodal computational pipeline for 3D histology of the human brain |
title_fullStr | A multimodal computational pipeline for 3D histology of the human brain |
title_full_unstemmed | A multimodal computational pipeline for 3D histology of the human brain |
title_short | A multimodal computational pipeline for 3D histology of the human brain |
title_sort | multimodal computational pipeline for 3d histology of the human brain |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7429828/ https://www.ncbi.nlm.nih.gov/pubmed/32796937 http://dx.doi.org/10.1038/s41598-020-69163-z |
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