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Three-dimensional visualizations from a dataset of immunohistochemical stained serial sections of human brain tissue containing tuberculosis related granulomas
This data article presents datasets associated with the research article entitled “The immunological architecture of granulomatous inflammation in central nervous system tuberculosis’’ (Zaharie et al., 2020). The morphology of tuberculosis related granulomas within the central nervous system of huma...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7701168/ https://www.ncbi.nlm.nih.gov/pubmed/33294523 http://dx.doi.org/10.1016/j.dib.2020.106532 |
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author | Zaharie, Stefan-Dan Franken, Daniel J. van der Kuip, Martijn van Elsland, Sabine de Bakker, Bernadette S. Hagoort, Jaco Roest, Sanna L. van Dam, Carmen S. Timmers, Carlie Solomons, Regan van Toorn, Ronald Kruger, Mariana van Furth, A. Marceline |
author_facet | Zaharie, Stefan-Dan Franken, Daniel J. van der Kuip, Martijn van Elsland, Sabine de Bakker, Bernadette S. Hagoort, Jaco Roest, Sanna L. van Dam, Carmen S. Timmers, Carlie Solomons, Regan van Toorn, Ronald Kruger, Mariana van Furth, A. Marceline |
author_sort | Zaharie, Stefan-Dan |
collection | PubMed |
description | This data article presents datasets associated with the research article entitled “The immunological architecture of granulomatous inflammation in central nervous system tuberculosis’’ (Zaharie et al., 2020). The morphology of tuberculosis related granulomas within the central nervous system of human patients was visualized in six different three-dimensional (3D) models. Post-mortem, formalin fixed and paraffin embedded specimens from deceased tuberculous meningitis patients were immunohistochemically stained and 800 serial histologically stained sections were acquired. Images from all sections were obtained with an Olympus BX43 light microscope and structures were identified, labeled and made three-dimensional. The interactive 3D-models allows the user to directly visualize the morphology of the granulomas and to understand the localization of the granulomas. The 3D-models can be used for multiple purposes and provide both an educational source as a gold standard for further animal studies, human research and the development of in silico models on the topic of central nervous system tuberculosis. |
format | Online Article Text |
id | pubmed-7701168 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-77011682020-12-07 Three-dimensional visualizations from a dataset of immunohistochemical stained serial sections of human brain tissue containing tuberculosis related granulomas Zaharie, Stefan-Dan Franken, Daniel J. van der Kuip, Martijn van Elsland, Sabine de Bakker, Bernadette S. Hagoort, Jaco Roest, Sanna L. van Dam, Carmen S. Timmers, Carlie Solomons, Regan van Toorn, Ronald Kruger, Mariana van Furth, A. Marceline Data Brief Data Article This data article presents datasets associated with the research article entitled “The immunological architecture of granulomatous inflammation in central nervous system tuberculosis’’ (Zaharie et al., 2020). The morphology of tuberculosis related granulomas within the central nervous system of human patients was visualized in six different three-dimensional (3D) models. Post-mortem, formalin fixed and paraffin embedded specimens from deceased tuberculous meningitis patients were immunohistochemically stained and 800 serial histologically stained sections were acquired. Images from all sections were obtained with an Olympus BX43 light microscope and structures were identified, labeled and made three-dimensional. The interactive 3D-models allows the user to directly visualize the morphology of the granulomas and to understand the localization of the granulomas. The 3D-models can be used for multiple purposes and provide both an educational source as a gold standard for further animal studies, human research and the development of in silico models on the topic of central nervous system tuberculosis. Elsevier 2020-11-14 /pmc/articles/PMC7701168/ /pubmed/33294523 http://dx.doi.org/10.1016/j.dib.2020.106532 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Zaharie, Stefan-Dan Franken, Daniel J. van der Kuip, Martijn van Elsland, Sabine de Bakker, Bernadette S. Hagoort, Jaco Roest, Sanna L. van Dam, Carmen S. Timmers, Carlie Solomons, Regan van Toorn, Ronald Kruger, Mariana van Furth, A. Marceline Three-dimensional visualizations from a dataset of immunohistochemical stained serial sections of human brain tissue containing tuberculosis related granulomas |
title | Three-dimensional visualizations from a dataset of immunohistochemical stained serial sections of human brain tissue containing tuberculosis related granulomas |
title_full | Three-dimensional visualizations from a dataset of immunohistochemical stained serial sections of human brain tissue containing tuberculosis related granulomas |
title_fullStr | Three-dimensional visualizations from a dataset of immunohistochemical stained serial sections of human brain tissue containing tuberculosis related granulomas |
title_full_unstemmed | Three-dimensional visualizations from a dataset of immunohistochemical stained serial sections of human brain tissue containing tuberculosis related granulomas |
title_short | Three-dimensional visualizations from a dataset of immunohistochemical stained serial sections of human brain tissue containing tuberculosis related granulomas |
title_sort | three-dimensional visualizations from a dataset of immunohistochemical stained serial sections of human brain tissue containing tuberculosis related granulomas |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7701168/ https://www.ncbi.nlm.nih.gov/pubmed/33294523 http://dx.doi.org/10.1016/j.dib.2020.106532 |
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