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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...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
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
Descripción
Sumario: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.