ArticleIUCrJ2024
A step towards 6D WAXD tensor tomography.
Article in IUCrJ, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- Anisotropic diffraction of materials with fibre symmetry: application to chitin cuticle.IUCrJ · 2026Article
- Texture tomography with high angular resolution utilizing sparsity.Journal of applied crystallography · 2025Article
- Exploiting Friedel pairs to interpret scanning 3DXRD data from complex geological materials.Journal of applied crystallography · 2024Article
- StreamSAXS: a Python-based workflow platform for processing streaming SAXS/WAXS data.Journal of synchrotron radiation · 2024Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
X-ray scattering/diffraction tensor tomography techniques are promising methods to acquire the 3D texture information of heterogeneous biological tissues at micrometre resolution. However, the methods suffer from a long overall acquisition time due to multi-dimensional scanning across real and reciprocal space. Here, a new approach is introduced to obtain 3D reciprocal information of each illuminated scanning volume using mathematic modeling, which is equivalent to a physical scanning procedure for collecting the full reciprocal information required for voxel reconstruction. The virtual reciprocal scanning scheme was validated by a simulated 6D wide-angle X-ray diffraction tomography experiment. The theoretical validation of the method represents an important technological advancement for 6D diffraction tensor tomography and a crucial step towards pervasive applications in the characterization of heterogeneous materials.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.