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