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Towards large-area EELS mapping of precipitates in a steel matrix: Comparing low loss and high loss quantification | Synapse
March 3, 2026
Open Access
Towards large-area EELS mapping of precipitates in a steel matrix: Comparing low loss and high loss quantification
AC
Alan J. Craven
University of Glasgow
BS
Bianca Sala
University of Glasgow
IM
Ian MacLaren
University of Glasgow
Key Points
Mapping shows effective identification of precipitates in the steel matrix, enhancing material analysis.
Quantification techniques demonstrated differences, with high loss EELS providing more detailed results than low loss methods.
Assessment using electron energy loss spectroscopy allows for a detailed understanding of microstructural features.
May enable more precise industrial applications in steel production and quality control.
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Craven et al. (Sat,) studied this question.
synapsesocial.com/papers/69a75a1cc6e9836116a1fa89
https://doi.org/https://doi.org/10.1016/j.ultramic.2026.114322