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


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
25 05 2021
Historique:
received: 04 02 2021
accepted: 16 04 2021
entrez: 26 5 2021
pubmed: 27 5 2021
medline: 6 11 2021
Statut: epublish

Résumé

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.

Identifiants

pubmed: 34035350
doi: 10.1038/s41598-021-89841-w
pii: 10.1038/s41598-021-89841-w
pmc: PMC8149420
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

10846

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Auteurs

Jonas Albers (J)

Institute for Diagnostic and Interventional Radiology, University Medical Center Göttingen, Göttingen, Germany. jonas.albers@med.uni-goettingen.de.

Angelika Svetlove (A)

Institute for Diagnostic and Interventional Radiology, University Medical Center Göttingen, Göttingen, Germany.
Translational Molecular Imaging, Max-Planck-Institute for Experimental Medicine, Göttingen, Germany.

Justus Alves (J)

Institute for Diagnostic and Interventional Radiology, University Medical Center Göttingen, Göttingen, Germany.

Alexander Kraupner (A)

nanoPET Pharma, Berlin, Germany.

Francesca di Lillo (F)

Elettra Sincrotrone Trieste, Trieste, Italy.

M Andrea Markus (MA)

Translational Molecular Imaging, Max-Planck-Institute for Experimental Medicine, Göttingen, Germany.

Giuliana Tromba (G)

Elettra Sincrotrone Trieste, Trieste, Italy.

Frauke Alves (F)

Institute for Diagnostic and Interventional Radiology, University Medical Center Göttingen, Göttingen, Germany.
Translational Molecular Imaging, Max-Planck-Institute for Experimental Medicine, Göttingen, Germany.
Clinic for Hematology and Medical Oncology, University Medical Center Göttingen, Göttingen, Germany.

Christian Dullin (C)

Institute for Diagnostic and Interventional Radiology, University Medical Center Göttingen, Göttingen, Germany.

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