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Multiscale X-ray phase contrast imaging of human cartilage for investigating osteoarthritis formation
BACKGROUND: The evolution of cartilage degeneration is still not fully understood, partly due to its thinness, low radio-opacity and therefore lack of adequately resolving imaging techniques. X-ray phase-contrast imaging (X-PCI) offers increased sensitivity with respect to standard radiography and C...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8182937/ https://www.ncbi.nlm.nih.gov/pubmed/34098949 http://dx.doi.org/10.1186/s12929-021-00739-1 |
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author | Horng, Annie Stroebel, Johannes Geith, Tobias Milz, Stefan Pacureanu, Alexandra Yang, Yang Cloetens, Peter Lovric, Goran Mittone, Alberto Bravin, Alberto Coan, Paola |
author_facet | Horng, Annie Stroebel, Johannes Geith, Tobias Milz, Stefan Pacureanu, Alexandra Yang, Yang Cloetens, Peter Lovric, Goran Mittone, Alberto Bravin, Alberto Coan, Paola |
author_sort | Horng, Annie |
collection | PubMed |
description | BACKGROUND: The evolution of cartilage degeneration is still not fully understood, partly due to its thinness, low radio-opacity and therefore lack of adequately resolving imaging techniques. X-ray phase-contrast imaging (X-PCI) offers increased sensitivity with respect to standard radiography and CT allowing an enhanced visibility of adjoining, low density structures with an almost histological image resolution. This study examined the feasibility of X-PCI for high-resolution (sub-) micrometer analysis of different stages in tissue degeneration of human cartilage samples and compare it to histology and transmission electron microscopy. METHODS: Ten 10%-formalin preserved healthy and moderately degenerated osteochondral samples, post-mortem extracted from human knee joints, were examined using four different X-PCI tomographic set-ups using synchrotron radiation the European Synchrotron Radiation Facility (France) and the Swiss Light Source (Switzerland). Volumetric datasets were acquired with voxel sizes between 0.7 × 0.7 × 0.7 and 0.1 × 0.1 × 0.1 µm(3). Data were reconstructed by a filtered back-projection algorithm, post-processed by ImageJ, the WEKA machine learning pixel classification tool and VGStudio max. For correlation, osteochondral samples were processed for histology and transmission electron microscopy. RESULTS: X-PCI provides a three-dimensional visualization of healthy and moderately degenerated cartilage samples down to a (sub-)cellular level with good correlation to histologic and transmission electron microscopy images. X-PCI is able to resolve the three layers and the architectural organization of cartilage including changes in chondrocyte cell morphology, chondrocyte subgroup distribution and (re-)organization as well as its subtle matrix structures. CONCLUSIONS: X-PCI captures comprehensive cartilage tissue transformation in its environment and might serve as a tissue-preserving, staining-free and volumetric virtual histology tool for examining and chronicling cartilage behavior in basic research/laboratory experiments of cartilage disease evolution. |
format | Online Article Text |
id | pubmed-8182937 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-81829372021-06-09 Multiscale X-ray phase contrast imaging of human cartilage for investigating osteoarthritis formation Horng, Annie Stroebel, Johannes Geith, Tobias Milz, Stefan Pacureanu, Alexandra Yang, Yang Cloetens, Peter Lovric, Goran Mittone, Alberto Bravin, Alberto Coan, Paola J Biomed Sci Research BACKGROUND: The evolution of cartilage degeneration is still not fully understood, partly due to its thinness, low radio-opacity and therefore lack of adequately resolving imaging techniques. X-ray phase-contrast imaging (X-PCI) offers increased sensitivity with respect to standard radiography and CT allowing an enhanced visibility of adjoining, low density structures with an almost histological image resolution. This study examined the feasibility of X-PCI for high-resolution (sub-) micrometer analysis of different stages in tissue degeneration of human cartilage samples and compare it to histology and transmission electron microscopy. METHODS: Ten 10%-formalin preserved healthy and moderately degenerated osteochondral samples, post-mortem extracted from human knee joints, were examined using four different X-PCI tomographic set-ups using synchrotron radiation the European Synchrotron Radiation Facility (France) and the Swiss Light Source (Switzerland). Volumetric datasets were acquired with voxel sizes between 0.7 × 0.7 × 0.7 and 0.1 × 0.1 × 0.1 µm(3). Data were reconstructed by a filtered back-projection algorithm, post-processed by ImageJ, the WEKA machine learning pixel classification tool and VGStudio max. For correlation, osteochondral samples were processed for histology and transmission electron microscopy. RESULTS: X-PCI provides a three-dimensional visualization of healthy and moderately degenerated cartilage samples down to a (sub-)cellular level with good correlation to histologic and transmission electron microscopy images. X-PCI is able to resolve the three layers and the architectural organization of cartilage including changes in chondrocyte cell morphology, chondrocyte subgroup distribution and (re-)organization as well as its subtle matrix structures. CONCLUSIONS: X-PCI captures comprehensive cartilage tissue transformation in its environment and might serve as a tissue-preserving, staining-free and volumetric virtual histology tool for examining and chronicling cartilage behavior in basic research/laboratory experiments of cartilage disease evolution. BioMed Central 2021-06-07 /pmc/articles/PMC8182937/ /pubmed/34098949 http://dx.doi.org/10.1186/s12929-021-00739-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Horng, Annie Stroebel, Johannes Geith, Tobias Milz, Stefan Pacureanu, Alexandra Yang, Yang Cloetens, Peter Lovric, Goran Mittone, Alberto Bravin, Alberto Coan, Paola Multiscale X-ray phase contrast imaging of human cartilage for investigating osteoarthritis formation |
title | Multiscale X-ray phase contrast imaging of human cartilage for investigating osteoarthritis formation |
title_full | Multiscale X-ray phase contrast imaging of human cartilage for investigating osteoarthritis formation |
title_fullStr | Multiscale X-ray phase contrast imaging of human cartilage for investigating osteoarthritis formation |
title_full_unstemmed | Multiscale X-ray phase contrast imaging of human cartilage for investigating osteoarthritis formation |
title_short | Multiscale X-ray phase contrast imaging of human cartilage for investigating osteoarthritis formation |
title_sort | multiscale x-ray phase contrast imaging of human cartilage for investigating osteoarthritis formation |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8182937/ https://www.ncbi.nlm.nih.gov/pubmed/34098949 http://dx.doi.org/10.1186/s12929-021-00739-1 |
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