ArticleActa crystallographica. Section A, Foundations and advances2023
Small-angle scattering tensor tomography algorithm for robust reconstruction of complex textures.
Article in Acta crystallographica. Section A, Foundations and advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed, 14 citations in OpenAlex.
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- Combination of 3D and 2D Small and Wide Angle X-Ray Scattering Imaging Reveals Diminished Bone Quality in the Superior Human Femoral Neck Cortex.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Dynamic sampling for SAXSTT: towards real-time measurement adaptation.Journal of synchrotron radiation · 2026Article
- Three-Dimensional Characterization of the Collagen-Hydroxyapatite Interaction During Heterotopic Ossification in Healing Rat Achilles Tendons.Small science · 2026Article
- Fast Small-Angle X-Ray Scattering Tensor Tomography: An Outlook into Future Applications in Life Sciences.Small methods · 2026Article
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- A micro-beamstop with transmission detection by fluorescence for scanning-beam synchrotron scattering beamlines.Journal of applied crystallography · 2024Article
- Crossing length scales: X-ray approaches to studying the structure of biological materials.IUCrJ · 2024Review
- Article
- Investigating the missing-wedge problem in small-angle X-ray scattering tensor tomography across real and reciprocal space.Journal of synchrotron radiation · 2024Article
- X-ray tensor tomography for small-grained polycrystals with strong texture.Journal of applied crystallography · 2024Article
- A step towards 6D WAXD tensor tomography.IUCrJ · 2024Article
- ForMAX - a beamline for multiscale and multimodal structural characterization of hierarchical materials.Journal of synchrotron radiation · 2024Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
The development of small-angle scattering tensor tomography has enabled the study of anisotropic nanostructures in a volume-resolved manner. It is of great value to have reconstruction methods that can handle many different nanostructural symmetries. For such a method to be employed by researchers from a wide range of backgrounds, it is crucial that its reliance on prior knowledge about the system is minimized, and that it is robust under various conditions. Here, a method is presented that employs band-limited spherical functions to enable the reconstruction of reciprocal-space maps of a wide variety of nanostructures. This method has been thoroughly tested and compared with existing methods in its ability to retrieve known reciprocal-space maps, as well as its robustness to changes in initial conditions, using both simulations and experimental data. It has also been evaluated for its computational performance. The anchoring of this method in a framework of integral geometry and linear algebra highlights its possibilities and limitations.
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