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@ARTICLE{Mevenkamp:878659,
author = {Mevenkamp, Niklas and MacArthur, Katherine E. and Tileli,
Vasiliki and Ebert, Philipp and Allen, Leslie J. and
Berkels, Benjamin and Duchamp, Martial},
title = {{M}ulti-modal and multi-scale non-local means method to
analyze spectroscopic datasets},
journal = {Ultramicroscopy},
volume = {209},
issn = {0304-3991},
address = {Amsterdam},
publisher = {Elsevier Science},
reportid = {FZJ-2020-02980},
pages = {112877 -},
year = {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 oxidation state of perovskite
nanocatalysts. The improved SNR of the EELS dataset also
allows the retrieval of atomically resolved oxidation maps
considering the fine structure absorption edge of LaMnO3
nanoparticles.},
cin = {ER-C-1},
ddc = {570},
cid = {I:(DE-Juel1)ER-C-1-20170209},
pnm = {143 - Controlling Configuration-Based Phenomena (POF3-143)
/ DFG project 257727131 - Nanoskalige Pt
Legierungselektrokatalysatoren mit definierter Morphologie:
Synthese, Electrochemische Analyse, und ex-situ/in-situ
Transmissionselektronenmikroskopische (TEM) Studien
(257727131)},
pid = {G:(DE-HGF)POF3-143 / G:(GEPRIS)257727131},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:31884381},
UT = {WOS:000510861500005},
doi = {10.1016/j.ultramic.2019.112877},
url = {https://juser.fz-juelich.de/record/878659},
}