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High-throughput 3D whole-brain quantitative histopathology in rodents
Histology is the gold standard to unveil microscopic brain structures and pathological alterations in humans and animal models of disease. However, due to tedious manual interventions, quantification of histopathological markers is classically performed on a few tissue sections, thus restricting mea...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4753455/ https://www.ncbi.nlm.nih.gov/pubmed/26876372 http://dx.doi.org/10.1038/srep20958 |
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author | Vandenberghe, Michel E. Hérard, Anne-Sophie Souedet, Nicolas Sadouni, Elmahdi Santin, Mathieu D. Briet, Dominique Carré, Denis Schulz, Jocelyne Hantraye, Philippe Chabrier, Pierre-Etienne Rooney, Thomas Debeir, Thomas Blanchard, Véronique Pradier, Laurent Dhenain, Marc Delzescaux, Thierry |
author_facet | Vandenberghe, Michel E. Hérard, Anne-Sophie Souedet, Nicolas Sadouni, Elmahdi Santin, Mathieu D. Briet, Dominique Carré, Denis Schulz, Jocelyne Hantraye, Philippe Chabrier, Pierre-Etienne Rooney, Thomas Debeir, Thomas Blanchard, Véronique Pradier, Laurent Dhenain, Marc Delzescaux, Thierry |
author_sort | Vandenberghe, Michel E. |
collection | PubMed |
description | Histology is the gold standard to unveil microscopic brain structures and pathological alterations in humans and animal models of disease. However, due to tedious manual interventions, quantification of histopathological markers is classically performed on a few tissue sections, thus restricting measurements to limited portions of the brain. Recently developed 3D microscopic imaging techniques have allowed in-depth study of neuroanatomy. However, quantitative methods are still lacking for whole-brain analysis of cellular and pathological markers. Here, we propose a ready-to-use, automated, and scalable method to thoroughly quantify histopathological markers in 3D in rodent whole brains. It relies on block-face photography, serial histology and 3D-HAPi (Three Dimensional Histology Analysis Pipeline), an open source image analysis software. We illustrate our method in studies involving mouse models of Alzheimer’s disease and show that it can be broadly applied to characterize animal models of brain diseases, to evaluate therapeutic interventions, to anatomically correlate cellular and pathological markers throughout the entire brain and to validate in vivo imaging techniques. |
format | Online Article Text |
id | pubmed-4753455 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-47534552016-02-23 High-throughput 3D whole-brain quantitative histopathology in rodents Vandenberghe, Michel E. Hérard, Anne-Sophie Souedet, Nicolas Sadouni, Elmahdi Santin, Mathieu D. Briet, Dominique Carré, Denis Schulz, Jocelyne Hantraye, Philippe Chabrier, Pierre-Etienne Rooney, Thomas Debeir, Thomas Blanchard, Véronique Pradier, Laurent Dhenain, Marc Delzescaux, Thierry Sci Rep Article Histology is the gold standard to unveil microscopic brain structures and pathological alterations in humans and animal models of disease. However, due to tedious manual interventions, quantification of histopathological markers is classically performed on a few tissue sections, thus restricting measurements to limited portions of the brain. Recently developed 3D microscopic imaging techniques have allowed in-depth study of neuroanatomy. However, quantitative methods are still lacking for whole-brain analysis of cellular and pathological markers. Here, we propose a ready-to-use, automated, and scalable method to thoroughly quantify histopathological markers in 3D in rodent whole brains. It relies on block-face photography, serial histology and 3D-HAPi (Three Dimensional Histology Analysis Pipeline), an open source image analysis software. We illustrate our method in studies involving mouse models of Alzheimer’s disease and show that it can be broadly applied to characterize animal models of brain diseases, to evaluate therapeutic interventions, to anatomically correlate cellular and pathological markers throughout the entire brain and to validate in vivo imaging techniques. Nature Publishing Group 2016-02-15 /pmc/articles/PMC4753455/ /pubmed/26876372 http://dx.doi.org/10.1038/srep20958 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Vandenberghe, Michel E. Hérard, Anne-Sophie Souedet, Nicolas Sadouni, Elmahdi Santin, Mathieu D. Briet, Dominique Carré, Denis Schulz, Jocelyne Hantraye, Philippe Chabrier, Pierre-Etienne Rooney, Thomas Debeir, Thomas Blanchard, Véronique Pradier, Laurent Dhenain, Marc Delzescaux, Thierry High-throughput 3D whole-brain quantitative histopathology in rodents |
title | High-throughput 3D whole-brain quantitative histopathology in rodents |
title_full | High-throughput 3D whole-brain quantitative histopathology in rodents |
title_fullStr | High-throughput 3D whole-brain quantitative histopathology in rodents |
title_full_unstemmed | High-throughput 3D whole-brain quantitative histopathology in rodents |
title_short | High-throughput 3D whole-brain quantitative histopathology in rodents |
title_sort | high-throughput 3d whole-brain quantitative histopathology in rodents |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4753455/ https://www.ncbi.nlm.nih.gov/pubmed/26876372 http://dx.doi.org/10.1038/srep20958 |
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