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Non-rigid registration and non-local principle component analysis to improve electron microscopy spectrum images.

Authors :
Andrew B Yankovich
Chenyu Zhang
Albert Oh
Thomas J A Slater
Feridoon Azough
Robert Freer
Sarah J Haigh
Rebecca Willett
Paul M Voyles
Source :
Nanotechnology; 9/9/2016, Vol. 27 Issue 36, p1-1, 1p
Publication Year :
2016

Abstract

Image registration and non-local Poisson principal component analysis (PCA) denoising improve the quality of characteristic x-ray (EDS) spectrum imaging of Ca-stabilized Nd<subscript>2/3</subscript>TiO<subscript>3</subscript> acquired at atomic resolution in a scanning transmission electron microscope. Image registration based on the simultaneously acquired high angle annular dark field image significantly outperforms acquisition with a long pixel dwell time or drift correction using a reference image. Non-local Poisson PCA denoising reduces noise more strongly than conventional weighted PCA while preserving atomic structure more faithfully. The reliability of and optimal internal parameters for non-local Poisson PCA denoising of EDS spectrum images is assessed using tests on phantom data. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09574484
Volume :
27
Issue :
36
Database :
Complementary Index
Journal :
Nanotechnology
Publication Type :
Academic Journal
Accession number :
117801515
Full Text :
https://doi.org/10.1088/0957-4484/27/36/364001