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

Abstract 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 spe...

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Autores principales:	Jonas Albers, Angelika Svetlove, Justus Alves, Alexander Kraupner, Francesca di Lillo, M. Andrea Markus, Giuliana Tromba, Frauke Alves, Christian Dullin
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/0a0851c3f83d49ef99dad6f1c6b50b4f
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spelling	oai:doaj.org-article:0a0851c3f83d49ef99dad6f1c6b50b4f2021-12-02T16:53:00ZElastic transformation of histological slices allows precise co-registration with microCT data sets for a refined virtual histology approach10.1038/s41598-021-89841-w2045-2322https://doaj.org/article/0a0851c3f83d49ef99dad6f1c6b50b4f2021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-89841-whttps://doaj.org/toc/2045-2322Abstract 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.Jonas AlbersAngelika SvetloveJustus AlvesAlexander KraupnerFrancesca di LilloM. Andrea MarkusGiuliana TrombaFrauke AlvesChristian DullinNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Jonas Albers Angelika Svetlove Justus Alves Alexander Kraupner Francesca di Lillo M. Andrea Markus Giuliana Tromba Frauke Alves Christian Dullin Elastic transformation of histological slices allows precise co-registration with microCT data sets for a refined virtual histology approach
description	Abstract 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.
format	article
author	Jonas Albers Angelika Svetlove Justus Alves Alexander Kraupner Francesca di Lillo M. Andrea Markus Giuliana Tromba Frauke Alves Christian Dullin
author_facet	Jonas Albers Angelika Svetlove Justus Alves Alexander Kraupner Francesca di Lillo M. Andrea Markus Giuliana Tromba Frauke Alves Christian Dullin
author_sort	Jonas Albers
title	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_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_sort	elastic transformation of histological slices allows precise co-registration with microct data sets for a refined virtual histology approach
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/0a0851c3f83d49ef99dad6f1c6b50b4f
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Elastic transformation of histological slices allows precise co-registration with microCT data sets for a refined virtual histology approach

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