A multiscale Bayesian approach to quantification and denoising of energy-dispersive x-ray data

A multiscale Bayesian approach to quantification and denoising of energy-dispersive x-ray data

Energy dispersive x-ray (EDX) spectrum imaging yields compositional information with a spatial resolution down to the atomic level. However, experimental limitations often produce extremely sparse and noisy EDX spectra. Under such conditions, every detected x-ray must be leveraged to obtain the maxi...

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Bibliographic Details
Main Authors: Pau Torruella, Abderrahim Halimi, Ludovica Tovaglieri, Céline Lichtensteiger, Duncan T L Alexander, Cécile Hébert
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:Machine Learning: Science and Technology
Subjects:
multiscale
Bayesian
denoising
energy dispersive x-ray spectroscopy
chemical quantification
electron microscopy
Online Access:https://doi.org/10.1088/2632-2153/add8e1
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https://doi.org/10.1088/2632-2153/add8e1

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