ReviewPhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2023
Recent developments in X-ray diffraction/scattering computed tomography for materials science.
Review in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 45 citations in OpenAlex.
- High-energy synchrotron X-ray multimodal computed tomography: enabling multiscale materials characterization at NSLS-II.Journal of synchrotron radiation · 2026Article
- Spatially resolved nanostructural analysis of disordered phases in carbonated alkali-activated slag.Nature communications · 2025Article
- X-ray diffraction reveals alterations in mouse somatosensory cortex following sensory deprivation.Journal of neuroscience methods · 2025Article
- Characterization and calibration of DECTRIS PILATUS3 X CdTe 2M high-Journal of applied crystallography · 2025Article
- AI-enhanced X-ray diffraction analysis: towards real-time mineral phase identification and quantification.IUCrJ · 2024Article
- Chemical Imaging of Carbide Formation and Its Effect on Alcohol Selectivity in Fischer Tropsch Synthesis on Mn-Doped Co/TiOACS catalysis · 2024Article
- Neural networks for rapid phase quantification of cultural heritage X-ray powder diffraction data.Journal of applied crystallography · 2024Article
- Application of non-destructive testing methods for assessing fracture resistance in dental ceramics: the sound harvesting test.Frontiers in dental medicine · 2024Article
- Exploring the length scales, timescales and chemistry of challenging materials (Part 2).Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
X-ray diffraction/scattering computed tomography (XDS-CT) methods are a non-destructive class of chemical imaging techniques that have the capacity to provide reconstructions of sample cross-sections with spatially resolved chemical information. While X-ray diffraction CT (XRD-CT) is the most well-established method, recent advances in instrumentation and data reconstruction have seen greater use of related techniques like small angle X-ray scattering CT and pair distribution function CT. Additionally, the adoption of machine learning techniques for tomographic reconstruction and data analysis are fundamentally disrupting how XDS-CT data is processed. The following narrative review highlights recent developments and applications of XDS-CT with a focus on studies in the last five years. This article is part of the theme issue 'Exploring the length scales, timescales and chemistry of challenging materials (Part 2)'.
Indexed as
Identifiers
What OpenQuestion holds
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.