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A multiscale X-ray phase-contrast tomography dataset of a whole human left lung
Technological advancements in X-ray imaging using bright and coherent synchrotron sources now allows the decoupling of sample size and resolution while maintaining high sensitivity to the microstructures of soft, partially dehydrated tissues. The continuous developments in multiscale X-ray imaging r...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9163096/ https://www.ncbi.nlm.nih.gov/pubmed/35654864 http://dx.doi.org/10.1038/s41597-022-01353-y |
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author | Xian, R. Patrick Walsh, Claire L. Verleden, Stijn E. Wagner, Willi L. Bellier, Alexandre Marussi, Sebastian Ackermann, Maximilian Jonigk, Danny D. Jacob, Joseph Lee, Peter D. Tafforeau, Paul |
author_facet | Xian, R. Patrick Walsh, Claire L. Verleden, Stijn E. Wagner, Willi L. Bellier, Alexandre Marussi, Sebastian Ackermann, Maximilian Jonigk, Danny D. Jacob, Joseph Lee, Peter D. Tafforeau, Paul |
author_sort | Xian, R. Patrick |
collection | PubMed |
description | Technological advancements in X-ray imaging using bright and coherent synchrotron sources now allows the decoupling of sample size and resolution while maintaining high sensitivity to the microstructures of soft, partially dehydrated tissues. The continuous developments in multiscale X-ray imaging resulted in hierarchical phase-contrast tomography, a comprehensive approach to address the challenge of organ-scale (up to tens of centimeters) soft tissue imaging with resolution and sensitivity down to the cellular level. Using this technique, we imaged ex vivo an entire human left lung at an isotropic voxel size of 25.08 μm along with local zooms down to 6.05–6.5 μm and 2.45–2.5 μm in voxel size. The high tissue contrast offered by the fourth-generation synchrotron source at the European Synchrotron Radiation Facility reveals the complex multiscale anatomical constitution of the human lung from the macroscopic (centimeter) down to the microscopic (micrometer) scale. The dataset provides comprehensive organ-scale 3D information of the secondary pulmonary lobules and delineates the microstructure of lung nodules with unprecedented detail. |
format | Online Article Text |
id | pubmed-9163096 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-91630962022-06-05 A multiscale X-ray phase-contrast tomography dataset of a whole human left lung Xian, R. Patrick Walsh, Claire L. Verleden, Stijn E. Wagner, Willi L. Bellier, Alexandre Marussi, Sebastian Ackermann, Maximilian Jonigk, Danny D. Jacob, Joseph Lee, Peter D. Tafforeau, Paul Sci Data Data Descriptor Technological advancements in X-ray imaging using bright and coherent synchrotron sources now allows the decoupling of sample size and resolution while maintaining high sensitivity to the microstructures of soft, partially dehydrated tissues. The continuous developments in multiscale X-ray imaging resulted in hierarchical phase-contrast tomography, a comprehensive approach to address the challenge of organ-scale (up to tens of centimeters) soft tissue imaging with resolution and sensitivity down to the cellular level. Using this technique, we imaged ex vivo an entire human left lung at an isotropic voxel size of 25.08 μm along with local zooms down to 6.05–6.5 μm and 2.45–2.5 μm in voxel size. The high tissue contrast offered by the fourth-generation synchrotron source at the European Synchrotron Radiation Facility reveals the complex multiscale anatomical constitution of the human lung from the macroscopic (centimeter) down to the microscopic (micrometer) scale. The dataset provides comprehensive organ-scale 3D information of the secondary pulmonary lobules and delineates the microstructure of lung nodules with unprecedented detail. Nature Publishing Group UK 2022-06-02 /pmc/articles/PMC9163096/ /pubmed/35654864 http://dx.doi.org/10.1038/s41597-022-01353-y Text en © The Author(s) 2022 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Xian, R. Patrick Walsh, Claire L. Verleden, Stijn E. Wagner, Willi L. Bellier, Alexandre Marussi, Sebastian Ackermann, Maximilian Jonigk, Danny D. Jacob, Joseph Lee, Peter D. Tafforeau, Paul A multiscale X-ray phase-contrast tomography dataset of a whole human left lung |
title | A multiscale X-ray phase-contrast tomography dataset of a whole human left lung |
title_full | A multiscale X-ray phase-contrast tomography dataset of a whole human left lung |
title_fullStr | A multiscale X-ray phase-contrast tomography dataset of a whole human left lung |
title_full_unstemmed | A multiscale X-ray phase-contrast tomography dataset of a whole human left lung |
title_short | A multiscale X-ray phase-contrast tomography dataset of a whole human left lung |
title_sort | multiscale x-ray phase-contrast tomography dataset of a whole human left lung |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9163096/ https://www.ncbi.nlm.nih.gov/pubmed/35654864 http://dx.doi.org/10.1038/s41597-022-01353-y |
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