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High-contrast en bloc staining of mouse whole-brain and human brain samples for EM-based connectomics
Connectomes of human cortical gray matter require high-contrast homogeneously stained samples sized at least 2 mm on a side, and a mouse whole-brain connectome requires samples sized at least 5–10 mm on a side. Here we report en bloc staining and embedding protocols for these and other applications,...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10250191/ https://www.ncbi.nlm.nih.gov/pubmed/37156843 http://dx.doi.org/10.1038/s41592-023-01866-3 |
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author | Song, Kun Feng, Zhihui Helmstaedter, Moritz |
author_facet | Song, Kun Feng, Zhihui Helmstaedter, Moritz |
author_sort | Song, Kun |
collection | PubMed |
description | Connectomes of human cortical gray matter require high-contrast homogeneously stained samples sized at least 2 mm on a side, and a mouse whole-brain connectome requires samples sized at least 5–10 mm on a side. Here we report en bloc staining and embedding protocols for these and other applications, removing a key obstacle for connectomic analyses at the mammalian whole-brain level. |
format | Online Article Text |
id | pubmed-10250191 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group US |
record_format | MEDLINE/PubMed |
spelling | pubmed-102501912023-06-10 High-contrast en bloc staining of mouse whole-brain and human brain samples for EM-based connectomics Song, Kun Feng, Zhihui Helmstaedter, Moritz Nat Methods Brief Communication Connectomes of human cortical gray matter require high-contrast homogeneously stained samples sized at least 2 mm on a side, and a mouse whole-brain connectome requires samples sized at least 5–10 mm on a side. Here we report en bloc staining and embedding protocols for these and other applications, removing a key obstacle for connectomic analyses at the mammalian whole-brain level. Nature Publishing Group US 2023-05-08 2023 /pmc/articles/PMC10250191/ /pubmed/37156843 http://dx.doi.org/10.1038/s41592-023-01866-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Brief Communication Song, Kun Feng, Zhihui Helmstaedter, Moritz High-contrast en bloc staining of mouse whole-brain and human brain samples for EM-based connectomics |
title | High-contrast en bloc staining of mouse whole-brain and human brain samples for EM-based connectomics |
title_full | High-contrast en bloc staining of mouse whole-brain and human brain samples for EM-based connectomics |
title_fullStr | High-contrast en bloc staining of mouse whole-brain and human brain samples for EM-based connectomics |
title_full_unstemmed | High-contrast en bloc staining of mouse whole-brain and human brain samples for EM-based connectomics |
title_short | High-contrast en bloc staining of mouse whole-brain and human brain samples for EM-based connectomics |
title_sort | high-contrast en bloc staining of mouse whole-brain and human brain samples for em-based connectomics |
topic | Brief Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10250191/ https://www.ncbi.nlm.nih.gov/pubmed/37156843 http://dx.doi.org/10.1038/s41592-023-01866-3 |
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