Tunable X-ray dark-field imaging for sub-resolution feature size quantification in porous media

Abstract X-ray computed micro-tomography typically involves a trade-off between sample size and resolution, complicating the study at a micrometer scale of representative volumes of materials with broad feature size distributions (e.g. natural stones). X-ray dark-field tomography exploits scattering...

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Autores principales:	Benjamin K. Blykers, Caori Organista, Matthieu N. Boone, Matias Kagias, Federica Marone, Marco Stampanoni, Tom Bultreys, Veerle Cnudde, Jan Aelterman
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/f63e8cbd0e7d4d7a9019b6ff971d071d
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spelling	oai:doaj.org-article:f63e8cbd0e7d4d7a9019b6ff971d071d2021-12-02T15:33:24ZTunable X-ray dark-field imaging for sub-resolution feature size quantification in porous media10.1038/s41598-021-97915-y2045-2322https://doaj.org/article/f63e8cbd0e7d4d7a9019b6ff971d071d2021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-97915-yhttps://doaj.org/toc/2045-2322Abstract X-ray computed micro-tomography typically involves a trade-off between sample size and resolution, complicating the study at a micrometer scale of representative volumes of materials with broad feature size distributions (e.g. natural stones). X-ray dark-field tomography exploits scattering to probe sub-resolution features, promising to overcome this trade-off. In this work, we present a quantification method for sub-resolution feature sizes using dark-field tomograms obtained by tuning the autocorrelation length of a Talbot grating interferometer. Alumina particles with different nominal pore sizes (50 nm and 150 nm) were mixed and imaged at the TOMCAT beamline of the SLS synchrotron (PSI) at eighteen correlation lengths, covering the pore size range. The different particles cannot be distinguished by traditional absorption µCT due to their very similar density and the pores being unresolved at typical image resolutions. Nevertheless, by exploiting the scattering behavior of the samples, the proposed analysis method allowed to quantify the nominal pore sizes of individual particles. The robustness of this quantification was proven by reproducing the experiment with solid samples of alumina, and alumina particles that were kept separated. Our findings demonstrate the possibility to calibrate dark-field image analysis to quantify sub-resolution feature sizes, allowing multi-scale analyses of heterogeneous materials without subsampling.Benjamin K. BlykersCaori OrganistaMatthieu N. BooneMatias KagiasFederica MaroneMarco StampanoniTom BultreysVeerle CnuddeJan AeltermanNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Benjamin K. Blykers Caori Organista Matthieu N. Boone Matias Kagias Federica Marone Marco Stampanoni Tom Bultreys Veerle Cnudde Jan Aelterman Tunable X-ray dark-field imaging for sub-resolution feature size quantification in porous media
description	Abstract X-ray computed micro-tomography typically involves a trade-off between sample size and resolution, complicating the study at a micrometer scale of representative volumes of materials with broad feature size distributions (e.g. natural stones). X-ray dark-field tomography exploits scattering to probe sub-resolution features, promising to overcome this trade-off. In this work, we present a quantification method for sub-resolution feature sizes using dark-field tomograms obtained by tuning the autocorrelation length of a Talbot grating interferometer. Alumina particles with different nominal pore sizes (50 nm and 150 nm) were mixed and imaged at the TOMCAT beamline of the SLS synchrotron (PSI) at eighteen correlation lengths, covering the pore size range. The different particles cannot be distinguished by traditional absorption µCT due to their very similar density and the pores being unresolved at typical image resolutions. Nevertheless, by exploiting the scattering behavior of the samples, the proposed analysis method allowed to quantify the nominal pore sizes of individual particles. The robustness of this quantification was proven by reproducing the experiment with solid samples of alumina, and alumina particles that were kept separated. Our findings demonstrate the possibility to calibrate dark-field image analysis to quantify sub-resolution feature sizes, allowing multi-scale analyses of heterogeneous materials without subsampling.
format	article
author	Benjamin K. Blykers Caori Organista Matthieu N. Boone Matias Kagias Federica Marone Marco Stampanoni Tom Bultreys Veerle Cnudde Jan Aelterman
author_facet	Benjamin K. Blykers Caori Organista Matthieu N. Boone Matias Kagias Federica Marone Marco Stampanoni Tom Bultreys Veerle Cnudde Jan Aelterman
author_sort	Benjamin K. Blykers
title	Tunable X-ray dark-field imaging for sub-resolution feature size quantification in porous media
title_short	Tunable X-ray dark-field imaging for sub-resolution feature size quantification in porous media
title_full	Tunable X-ray dark-field imaging for sub-resolution feature size quantification in porous media
title_fullStr	Tunable X-ray dark-field imaging for sub-resolution feature size quantification in porous media
title_full_unstemmed	Tunable X-ray dark-field imaging for sub-resolution feature size quantification in porous media
title_sort	tunable x-ray dark-field imaging for sub-resolution feature size quantification in porous media
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/f63e8cbd0e7d4d7a9019b6ff971d071d
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Tunable X-ray dark-field imaging for sub-resolution feature size quantification in porous media

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