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Elastic transformation of histological slices allows precise co-registration with microCT data sets for a refined virtual histology approach

Although X-ray based 3D virtual histology is an emerging tool for the analysis of biological tissue, it falls short in terms of specificity when compared to conventional histology. Thus, the aim was to establish a novel approach that combines 3D information provided by microCT with high specificity...

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Autores principales: Albers, Jonas, Svetlove, Angelika, Alves, Justus, Kraupner, Alexander, di Lillo, Francesca, Markus, M. Andrea, Tromba, Giuliana, Alves, Frauke, Dullin, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8149420/
https://www.ncbi.nlm.nih.gov/pubmed/34035350
http://dx.doi.org/10.1038/s41598-021-89841-w
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author Albers, Jonas
Svetlove, Angelika
Alves, Justus
Kraupner, Alexander
di Lillo, Francesca
Markus, M. Andrea
Tromba, Giuliana
Alves, Frauke
Dullin, Christian
author_facet Albers, Jonas
Svetlove, Angelika
Alves, Justus
Kraupner, Alexander
di Lillo, Francesca
Markus, M. Andrea
Tromba, Giuliana
Alves, Frauke
Dullin, Christian
author_sort Albers, Jonas
collection PubMed
description Although X-ray based 3D virtual histology is an emerging tool for the analysis of biological tissue, it falls short in terms of specificity when compared to conventional histology. Thus, the aim was to establish a novel approach that combines 3D information provided by microCT with high specificity that only (immuno-)histochemistry can offer. For this purpose, we developed a software frontend, which utilises an elastic transformation technique to accurately co-register various histological and immunohistochemical stainings with free propagation phase contrast synchrotron radiation microCT. We demonstrate that the precision of the overlay of both imaging modalities is significantly improved by performing our elastic registration workflow, as evidenced by calculation of the displacement index. To illustrate the need for an elastic co-registration approach we examined specimens from a mouse model of breast cancer with injected metal-based nanoparticles. Using the elastic transformation pipeline, we were able to co-localise the nanoparticles to specifically stained cells or tissue structures into their three-dimensional anatomical context. Additionally, we performed a semi-automated tissue structure and cell classification. This workflow provides new insights on histopathological analysis by combining CT specific three-dimensional information with cell/tissue specific information provided by classical histology.
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spelling pubmed-81494202021-05-26 Elastic transformation of histological slices allows precise co-registration with microCT data sets for a refined virtual histology approach Albers, Jonas Svetlove, Angelika Alves, Justus Kraupner, Alexander di Lillo, Francesca Markus, M. Andrea Tromba, Giuliana Alves, Frauke Dullin, Christian Sci Rep Article Although X-ray based 3D virtual histology is an emerging tool for the analysis of biological tissue, it falls short in terms of specificity when compared to conventional histology. Thus, the aim was to establish a novel approach that combines 3D information provided by microCT with high specificity that only (immuno-)histochemistry can offer. For this purpose, we developed a software frontend, which utilises an elastic transformation technique to accurately co-register various histological and immunohistochemical stainings with free propagation phase contrast synchrotron radiation microCT. We demonstrate that the precision of the overlay of both imaging modalities is significantly improved by performing our elastic registration workflow, as evidenced by calculation of the displacement index. To illustrate the need for an elastic co-registration approach we examined specimens from a mouse model of breast cancer with injected metal-based nanoparticles. Using the elastic transformation pipeline, we were able to co-localise the nanoparticles to specifically stained cells or tissue structures into their three-dimensional anatomical context. Additionally, we performed a semi-automated tissue structure and cell classification. This workflow provides new insights on histopathological analysis by combining CT specific three-dimensional information with cell/tissue specific information provided by classical histology. Nature Publishing Group UK 2021-05-25 /pmc/articles/PMC8149420/ /pubmed/34035350 http://dx.doi.org/10.1038/s41598-021-89841-w Text en © The Author(s) 2021 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Albers, Jonas
Svetlove, Angelika
Alves, Justus
Kraupner, Alexander
di Lillo, Francesca
Markus, M. Andrea
Tromba, Giuliana
Alves, Frauke
Dullin, Christian
Elastic transformation of histological slices allows precise co-registration with microCT data sets for a refined virtual histology approach
title Elastic transformation of histological slices allows precise co-registration with microCT data sets for a refined virtual histology approach
title_full Elastic transformation of histological slices allows precise co-registration with microCT data sets for a refined virtual histology approach
title_fullStr Elastic transformation of histological slices allows precise co-registration with microCT data sets for a refined virtual histology approach
title_full_unstemmed Elastic transformation of histological slices allows precise co-registration with microCT data sets for a refined virtual histology approach
title_short Elastic transformation of histological slices allows precise co-registration with microCT data sets for a refined virtual histology approach
title_sort elastic transformation of histological slices allows precise co-registration with microct data sets for a refined virtual histology approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8149420/
https://www.ncbi.nlm.nih.gov/pubmed/34035350
http://dx.doi.org/10.1038/s41598-021-89841-w
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