Abstract
AbstractSTEM XEDS spectrum images can be drastically denoised by application of the principal component analysis (PCA). This paper looks inside the PCA workflow step by step on an example of a complex semiconductor structure consisting of a number of different phases. Typical problems distorting the principal components decomposition are highlighted and solutions for the successful PCA are described. Particular attention is paid to the optimal truncation of principal components in the course of reconstructing denoised data. A novel accurate and robust method, which overperforms the existing truncation methods is suggested for the first time and described in details.
Funder
European Research Council
Deutsche Forschungsgemeinschaft
Open Access Publishing Funds of the SLUB / TU Dresden
Publisher
Springer Science and Business Media LLC
Subject
Spectroscopy,Radiology, Nuclear Medicine and imaging,Chemical Engineering (miscellaneous)
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