• Shadowing and absorption correction are combined with absolute quantification in 3D • 3D X-ray absorption correction resolves discrepancies in tomography • Composition in Mg-Ca-Al alloy fluctuates at interfaces at the nanometre scale Nanoscale microstructure has a significant impact on the properties of materials, defining the high-temperature mechanical properties of metal alloys for aerospace and automotive applications. Quantifying the three-dimensional composition of a material across interfaces within such microstructure is therefore essential. Here, we report three-dimensional (3D) nanoscale composition quantification across interfaces in an Mg-Al-Ca alloy using scanning transmission electron microscopy-based X-ray energy dispersive spectroscopy. We use this demonstration to evaluate two 3D quantification approaches: (1) absolute quantification employing experimentally calibrated ionization cross-sections and compressed sensing tomography based on second order total variation regularisation and (2) relative quantification based on physical parameters extracted from the MC X-ray programme and tomography using the simultaneous iterative reconstruction technique (SIRT). X-ray absorption and shadowing corrections were integrated with both reconstruction methods. The results offer a methodological demonstration of absorption correction with absolute quantification as well as insight into the differences in absorption correction for CS-TV 2 and SIRT. In turn, these findings reveal composition changes immediately at the interfaces between the α-Mg matrix and the intermetallic skeleton microstructure characteristic of Mg-Al-Ca alloys. These advances in microscopy methodology to probe 3D compositional fluctuations at buried interfaces establish a route for quantitative analysis of alloys and materials with surface oxides as well as samples containing several elements with overlapping X-ray absorption edges.
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Jessica E. Snelson
Jillian Yuan
Scott Collins
Ultramicroscopy
Imperial College London
McGill University
University of Leeds
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Snelson et al. (Sun,) studied this question.
synapsesocial.com/papers/69ba420a4e9516ffd37a1e2b — DOI: https://doi.org/10.1016/j.ultramic.2026.114354