Journal article
Multi-modal and multi-scale non-local means method to analyze spectroscopic datasets
N Mevenkamp, KE MacArthur, V Tileli, P Ebert, LJ Allen, B Berkels, M Duchamp
Ultramicroscopy | ELSEVIER | Published : 2020
Abstract
A multi-modal and multi-scale non-local means (M3S-NLM) method is proposed to extract atomically resolved spectroscopic maps from low signal-to-noise (SNR) datasets recorded with a transmission electron microscope. This method improves upon previously tested denoising techniques as it takes into account the correlation between the dark-field signal recorded simultaneously with the spectroscopic dataset without compromising on the spatial resolution. The M3S-NLM method was applied to electron energy dispersive X-ray and electron-energy-loss spectroscopy (EELS) datasets. We illustrate the retrieval of the atomic scale diffusion process in an Al1-xInxN alloy grown on GaN and the surface oxidati..
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Awarded by Alexander von Humboldt-Stiftung
Funding Acknowledgements
This work was supported by Ministry of Education Academic Research Fund Tier 1 grants RG101/17 (Nanyang Technological University). This research was supported under the Discovery Projects funding scheme (Project DP140102538) of the Australian Research Council and by the Alexander von Humboldt Foundation. The authors at AICES RWTH Aachen University were funded in part by the Excellence Initiative of the German Federal and State Governments through grant GSC 111. Katherine MacArthur acknowledges the financial support of the Helmholtz Association in the form of a post doctoral scholarship. We thank J.-F. Carlin, R. Butte, and N. Grandjean from EPFL for kindly providing the AlInN/GaN sample and Prof. Kelsey A. Stoerzinger from Oregon State University and Prof. Yang Shao-Horn from MIT for kindly providing the LaMnO<INF>3</INF> specimen.