Extraction of physically meaningful endmembers from STEM spectrum-images combining geometrical and statistical approaches.
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DOI: 10.1016/j.micron.2021.103068
Abstract: This article addresses extraction of physically meaningful information from STEM EELS and EDX spectrum-images using methods of Multivariate Statistical Analysis. The problem is interpreted in terms of data distribution in a multi-dimensional factor space, which… read more here.
Keywords: physically meaningful; meaningful endmembers; spectrum images; extraction physically ... See more keywords