Robust dark-field signal extraction for modulation-based x-ray tensor tomography

We demonstrate a robust signal extraction method for x-ray speckle-based tensor tomography. We validate the effectiveness of the method for several carbon fiber composites, highlighting its potential for industrial applications. The proposed method can be adapted to various acquisition schemes and wavefront-marking optical elements, making it a versatile and robust tool for x-ray scattering tensor tomography.

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Publication Details

Journal
Applied Physics Letters
Published
2024-12-23
DOI
https://doi.org/10.1063/5.0244120
Citations
2
Primary Topic
Advanced X-ray Imaging Techniques
Type
article
Field-Weighted Citation Impact
1.22

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article

Robust dark-field signal extraction for modulation-based x-ray tensor tomography

Marco Stampanoni, Fabio De Marco, Federica Marone, Pierre Thibault et al.
2 citations
Applied Physics Letters
Advanced X-ray Imaging Techniques
1.22
article

Robust dark-field signal extraction for modulation-based x-ray tensor tomography

Marco Stampanoni, Fabio De Marco, Federica Marone, Pierre Thibault, Vittorio Di Trapani, Marie‐Christine Zdora, Alain Studer, Ginevra Lautizi, Jisoo Kim
article en
2 citations

Abstract

We demonstrate a robust signal extraction method for x-ray speckle-based tensor tomography. We validate the effectiveness of the method for several carbon fiber composites, highlighting its potential for industrial applications. The proposed method can be adapted to various acquisition schemes and wavefront-marking optical elements, making it a versatile and robust tool for x-ray scattering tensor tomography.

Applied Physics LettersVol. 125(26)
University of Trieste (IT), Korea Research Institute of Standards and Science (KR), Paul Scherrer Institute (CH), Elettra-Sincrotrone Trieste S.C.p.A. (IT), ETH Zurich (CH), Institute for Biomedical Engineering (CH), Monash University (AU)
Elettra-Sincrotrone Trieste, European Commission, Università degli Studi di Trieste, HORIZON EUROPE European Research Council
Industry, innovation and infrastructure
Openalex Percentile: Top 19%
Advanced X-ray Imaging Techniques
1.22
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Robust dark-field signal extraction for modulation-based x-ray tensor tomography — Marco Stampanoni, Fabio De Marco, et al. · Applied Physics Letters (2024) | TGRS Research Map | TGRS