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Cited by 517

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Recent advances in X-ray microtomography applied to materials

Stock, S. R.·2008·International Materials Reviews

Abstract

This review highlights recent advances in X-ray microcomputed tomography (microCT) as applied to materials, specifically advances made since the first materials microCT review appeared in International Materials Reviews . Improvements in instrumentation are covered, and one focus is microCT using phase (as opposed to absorption) contrast. Instead of grouping studies by disciplines, the reviewed reports are organised by type of application, specifically the study of the spatial distribution of phases, of cellular solids (including static and temporally evolving structures, fibrous network solids, mineralised tissues and biomedical applications), of channel structures, of deformation, fatigue and fracture, of processing and of corrosion and environmental interactions. Metrology applications are covered briefly, and several applications where microCT is combined with position resolved X-ray scattering are described in more detail. The accuracy of microCT reconstructions is discussed before data handling challenges are outlined. The review closes with speculations on the future directions of materials microCT.

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Crossref · 10.1179/174328008x277803

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Metadata

Authors
Stock, S. R.
Venue
International Materials Reviews
Published
2008-05
Volume
53
Issue
3
Pages
129-181
ISSN
  • 0950-6608 (ISSN-L)
  • 1743-2804
OpenAlex
W2021674156
Cited by
517
References
4
FWCI
24.91
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Recent advances in X-ray microtomography applied to materials. https://app.cochat.ai/papers/10.1179/174328008x277803
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Stock, S. R. (2008). Recent advances in X-ray microtomography applied to materials. International Materials Reviews. https://doi.org/10.1179/174328008x277803

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.