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A micro-CT-based method for quantitative brain lesion characterization and electrode localization

Lesion verification and quantification is traditionally done via histological examination of sectioned brains, a time-consuming process that relies heavily on manual estimation. Such methods are particularly problematic in posterior cortical regions (e.g. visual cortex), where sectioning leads to si...

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Autores principales: Masís, Javier, Mankus, David, Wolff, Steffen B. E., Guitchounts, Grigori, Joesch, Maximilian, Cox, David D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5980003/
https://www.ncbi.nlm.nih.gov/pubmed/29581439
http://dx.doi.org/10.1038/s41598-018-23247-z
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author Masís, Javier
Mankus, David
Wolff, Steffen B. E.
Guitchounts, Grigori
Joesch, Maximilian
Cox, David D.
author_facet Masís, Javier
Mankus, David
Wolff, Steffen B. E.
Guitchounts, Grigori
Joesch, Maximilian
Cox, David D.
author_sort Masís, Javier
collection PubMed
description Lesion verification and quantification is traditionally done via histological examination of sectioned brains, a time-consuming process that relies heavily on manual estimation. Such methods are particularly problematic in posterior cortical regions (e.g. visual cortex), where sectioning leads to significant damage and distortion of tissue. Even more challenging is the post hoc localization of micro-electrodes, which relies on the same techniques, suffers from similar drawbacks and requires even higher precision. Here, we propose a new, simple method for quantitative lesion characterization and electrode localization that is less labor-intensive and yields more detailed results than conventional methods. We leverage staining techniques standard in electron microscopy with the use of commodity micro-CT imaging. We stain whole rat and zebra finch brains in osmium tetroxide, embed these in resin and scan entire brains in a micro-CT machine. The scans result in 3D reconstructions of the brains with section thickness dependent on sample size (12–15 and 5–6 microns for rat and zebra finch respectively) that can be segmented manually or automatically. Because the method captures the entire intact brain volume, comparisons within and across studies are more tractable, and the extent of lesions and electrodes may be studied with higher accuracy than with current methods.
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spelling pubmed-59800032018-06-06 A micro-CT-based method for quantitative brain lesion characterization and electrode localization Masís, Javier Mankus, David Wolff, Steffen B. E. Guitchounts, Grigori Joesch, Maximilian Cox, David D. Sci Rep Article Lesion verification and quantification is traditionally done via histological examination of sectioned brains, a time-consuming process that relies heavily on manual estimation. Such methods are particularly problematic in posterior cortical regions (e.g. visual cortex), where sectioning leads to significant damage and distortion of tissue. Even more challenging is the post hoc localization of micro-electrodes, which relies on the same techniques, suffers from similar drawbacks and requires even higher precision. Here, we propose a new, simple method for quantitative lesion characterization and electrode localization that is less labor-intensive and yields more detailed results than conventional methods. We leverage staining techniques standard in electron microscopy with the use of commodity micro-CT imaging. We stain whole rat and zebra finch brains in osmium tetroxide, embed these in resin and scan entire brains in a micro-CT machine. The scans result in 3D reconstructions of the brains with section thickness dependent on sample size (12–15 and 5–6 microns for rat and zebra finch respectively) that can be segmented manually or automatically. Because the method captures the entire intact brain volume, comparisons within and across studies are more tractable, and the extent of lesions and electrodes may be studied with higher accuracy than with current methods. Nature Publishing Group UK 2018-03-26 /pmc/articles/PMC5980003/ /pubmed/29581439 http://dx.doi.org/10.1038/s41598-018-23247-z Text en © The Author(s) 2018 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
Masís, Javier
Mankus, David
Wolff, Steffen B. E.
Guitchounts, Grigori
Joesch, Maximilian
Cox, David D.
A micro-CT-based method for quantitative brain lesion characterization and electrode localization
title A micro-CT-based method for quantitative brain lesion characterization and electrode localization
title_full A micro-CT-based method for quantitative brain lesion characterization and electrode localization
title_fullStr A micro-CT-based method for quantitative brain lesion characterization and electrode localization
title_full_unstemmed A micro-CT-based method for quantitative brain lesion characterization and electrode localization
title_short A micro-CT-based method for quantitative brain lesion characterization and electrode localization
title_sort micro-ct-based method for quantitative brain lesion characterization and electrode localization
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5980003/
https://www.ncbi.nlm.nih.gov/pubmed/29581439
http://dx.doi.org/10.1038/s41598-018-23247-z
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