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3-D EM exploration of the hepatic microarchitecture – lessons learned from large-volume in situ serial sectioning
To-date serial block-face scanning electron microscopy (SBF-SEM) dominates as the premier technique for generating three-dimensional (3-D) data of resin-embedded biological samples at an unprecedented depth volume. Given the infancy of the technique, limited literature is currently available regardi...
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/PMC5105151/ https://www.ncbi.nlm.nih.gov/pubmed/27834401 http://dx.doi.org/10.1038/srep36744 |
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author | Shami, Gerald John Cheng, Delfine Huynh, Minh Vreuls, Celien Wisse, Eddie Braet, Filip |
author_facet | Shami, Gerald John Cheng, Delfine Huynh, Minh Vreuls, Celien Wisse, Eddie Braet, Filip |
author_sort | Shami, Gerald John |
collection | PubMed |
description | To-date serial block-face scanning electron microscopy (SBF-SEM) dominates as the premier technique for generating three-dimensional (3-D) data of resin-embedded biological samples at an unprecedented depth volume. Given the infancy of the technique, limited literature is currently available regarding the applicability of SBF-SEM for the ultrastructural investigation of tissues. Herein, we provide a comprehensive and rigorous appraisal of five different SBF-SEM sample preparation protocols for the large-volume exploration of the hepatic microarchitecture at an unparalleled X, Y and Z resolution. In so doing, we qualitatively and quantitatively validate the use of a comprehensive SBF-SEM sample preparation protocol, based on the application of heavy metal fixatives, stains and mordanting agents. Employing the best-tested SBF-SEM approach, enabled us to assess large-volume morphometric data on murine parenchymal cells, sinusoids and bile canaliculi. Finally, we integrated the validated SBF-SEM protocol with a correlative light and electron microscopy (CLEM) approach. The combination of confocal scanning laser microscopy and SBF-SEM provided a novel way to picture subcellular detail. We appreciate that this multidimensional approach will aid the subsequent research of liver tissue under relevant experimental and disease conditions. |
format | Online Article Text |
id | pubmed-5105151 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-51051512016-11-17 3-D EM exploration of the hepatic microarchitecture – lessons learned from large-volume in situ serial sectioning Shami, Gerald John Cheng, Delfine Huynh, Minh Vreuls, Celien Wisse, Eddie Braet, Filip Sci Rep Article To-date serial block-face scanning electron microscopy (SBF-SEM) dominates as the premier technique for generating three-dimensional (3-D) data of resin-embedded biological samples at an unprecedented depth volume. Given the infancy of the technique, limited literature is currently available regarding the applicability of SBF-SEM for the ultrastructural investigation of tissues. Herein, we provide a comprehensive and rigorous appraisal of five different SBF-SEM sample preparation protocols for the large-volume exploration of the hepatic microarchitecture at an unparalleled X, Y and Z resolution. In so doing, we qualitatively and quantitatively validate the use of a comprehensive SBF-SEM sample preparation protocol, based on the application of heavy metal fixatives, stains and mordanting agents. Employing the best-tested SBF-SEM approach, enabled us to assess large-volume morphometric data on murine parenchymal cells, sinusoids and bile canaliculi. Finally, we integrated the validated SBF-SEM protocol with a correlative light and electron microscopy (CLEM) approach. The combination of confocal scanning laser microscopy and SBF-SEM provided a novel way to picture subcellular detail. We appreciate that this multidimensional approach will aid the subsequent research of liver tissue under relevant experimental and disease conditions. Nature Publishing Group 2016-11-11 /pmc/articles/PMC5105151/ /pubmed/27834401 http://dx.doi.org/10.1038/srep36744 Text en Copyright © 2016, The Author(s) 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 Shami, Gerald John Cheng, Delfine Huynh, Minh Vreuls, Celien Wisse, Eddie Braet, Filip 3-D EM exploration of the hepatic microarchitecture – lessons learned from large-volume in situ serial sectioning |
title | 3-D EM exploration of the hepatic microarchitecture – lessons learned from large-volume in situ serial sectioning |
title_full | 3-D EM exploration of the hepatic microarchitecture – lessons learned from large-volume in situ serial sectioning |
title_fullStr | 3-D EM exploration of the hepatic microarchitecture – lessons learned from large-volume in situ serial sectioning |
title_full_unstemmed | 3-D EM exploration of the hepatic microarchitecture – lessons learned from large-volume in situ serial sectioning |
title_short | 3-D EM exploration of the hepatic microarchitecture – lessons learned from large-volume in situ serial sectioning |
title_sort | 3-d em exploration of the hepatic microarchitecture – lessons learned from large-volume in situ serial sectioning |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5105151/ https://www.ncbi.nlm.nih.gov/pubmed/27834401 http://dx.doi.org/10.1038/srep36744 |
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