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Tomographic X-ray scattering based on invariant reconstruction: analysis of the 3D nanostructure of bovine bone
Small-angle X-ray scattering (SAXS) is an effective characterization technique for multi-phase nanocomposites. The structural complexity and heterogeneity of biological materials require the development of new techniques for the 3D characterization of their hierarchical structures. Emerging SAXS tom...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Union of Crystallography
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8056764/ https://www.ncbi.nlm.nih.gov/pubmed/33953654 http://dx.doi.org/10.1107/S1600576721000881 |
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author | De Falco, Paolino Weinkamer, Richard Wagermaier, Wolfgang Li, Chenghao Snow, Tim Terrill, Nicholas J. Gupta, Himadri S. Goyal, Pawan Stoll, Martin Benner, Peter Fratzl, Peter |
author_facet | De Falco, Paolino Weinkamer, Richard Wagermaier, Wolfgang Li, Chenghao Snow, Tim Terrill, Nicholas J. Gupta, Himadri S. Goyal, Pawan Stoll, Martin Benner, Peter Fratzl, Peter |
author_sort | De Falco, Paolino |
collection | PubMed |
description | Small-angle X-ray scattering (SAXS) is an effective characterization technique for multi-phase nanocomposites. The structural complexity and heterogeneity of biological materials require the development of new techniques for the 3D characterization of their hierarchical structures. Emerging SAXS tomographic methods allow reconstruction of the 3D scattering pattern in each voxel but are costly in terms of synchrotron measurement time and computer time. To address this problem, an approach has been developed based on the reconstruction of SAXS invariants to allow for fast 3D characterization of nanostructured inhomogeneous materials. SAXS invariants are scalars replacing the 3D scattering patterns in each voxel, thus simplifying the 6D reconstruction problem to several 3D ones. Standard procedures for tomographic reconstruction can be directly adapted for this problem. The procedure is demonstrated by determining the distribution of the nanometric bone mineral particle thickness (T parameter) throughout a macroscopic 3D volume of bovine cortical bone. The T parameter maps display spatial patterns of particle thickness in fibrolamellar bone units. Spatial correlation between the mineral nanostructure and microscopic features reveals that the mineral particles are particularly thin in the vicinity of vascular channels. |
format | Online Article Text |
id | pubmed-8056764 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | International Union of Crystallography |
record_format | MEDLINE/PubMed |
spelling | pubmed-80567642021-05-04 Tomographic X-ray scattering based on invariant reconstruction: analysis of the 3D nanostructure of bovine bone De Falco, Paolino Weinkamer, Richard Wagermaier, Wolfgang Li, Chenghao Snow, Tim Terrill, Nicholas J. Gupta, Himadri S. Goyal, Pawan Stoll, Martin Benner, Peter Fratzl, Peter J Appl Crystallogr Research Papers Small-angle X-ray scattering (SAXS) is an effective characterization technique for multi-phase nanocomposites. The structural complexity and heterogeneity of biological materials require the development of new techniques for the 3D characterization of their hierarchical structures. Emerging SAXS tomographic methods allow reconstruction of the 3D scattering pattern in each voxel but are costly in terms of synchrotron measurement time and computer time. To address this problem, an approach has been developed based on the reconstruction of SAXS invariants to allow for fast 3D characterization of nanostructured inhomogeneous materials. SAXS invariants are scalars replacing the 3D scattering patterns in each voxel, thus simplifying the 6D reconstruction problem to several 3D ones. Standard procedures for tomographic reconstruction can be directly adapted for this problem. The procedure is demonstrated by determining the distribution of the nanometric bone mineral particle thickness (T parameter) throughout a macroscopic 3D volume of bovine cortical bone. The T parameter maps display spatial patterns of particle thickness in fibrolamellar bone units. Spatial correlation between the mineral nanostructure and microscopic features reveals that the mineral particles are particularly thin in the vicinity of vascular channels. International Union of Crystallography 2021-03-03 /pmc/articles/PMC8056764/ /pubmed/33953654 http://dx.doi.org/10.1107/S1600576721000881 Text en © Paolino De Falco et al. 2021 https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited. |
spellingShingle | Research Papers De Falco, Paolino Weinkamer, Richard Wagermaier, Wolfgang Li, Chenghao Snow, Tim Terrill, Nicholas J. Gupta, Himadri S. Goyal, Pawan Stoll, Martin Benner, Peter Fratzl, Peter Tomographic X-ray scattering based on invariant reconstruction: analysis of the 3D nanostructure of bovine bone |
title | Tomographic X-ray scattering based on invariant reconstruction: analysis of the 3D nanostructure of bovine bone |
title_full | Tomographic X-ray scattering based on invariant reconstruction: analysis of the 3D nanostructure of bovine bone |
title_fullStr | Tomographic X-ray scattering based on invariant reconstruction: analysis of the 3D nanostructure of bovine bone |
title_full_unstemmed | Tomographic X-ray scattering based on invariant reconstruction: analysis of the 3D nanostructure of bovine bone |
title_short | Tomographic X-ray scattering based on invariant reconstruction: analysis of the 3D nanostructure of bovine bone |
title_sort | tomographic x-ray scattering based on invariant reconstruction: analysis of the 3d nanostructure of bovine bone |
topic | Research Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8056764/ https://www.ncbi.nlm.nih.gov/pubmed/33953654 http://dx.doi.org/10.1107/S1600576721000881 |
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