Journal
NANOTECHNOLOGY
Volume 27, Issue 36, Pages -Publisher
IOP PUBLISHING LTD
DOI: 10.1088/0957-4484/27/36/364001
Keywords
spectrum imaging; nano characterization; multivariate statistical analysis; image denoising
Funding
- EPSRC UK grant [EP/M010619/1]
- Defense Threat Reduction Agency grant [HDTRA1-12-1-0013]
- US Department of Energy, Basic Energy Sciences [DE-FG02-08ER46547]
- NSF grant [CCF-1418976]
- Direct For Computer & Info Scie & Enginr
- Division of Computing and Communication Foundations [1418976] Funding Source: National Science Foundation
- EPSRC [EP/M010619/1] Funding Source: UKRI
- Engineering and Physical Sciences Research Council [EP/M010619/1] Funding Source: researchfish
Ask authors/readers for more resources
Image registration and non-local Poisson principal component analysis (PCA) denoising improve the quality of characteristic x-ray (EDS) spectrum imaging of Ca-stabilized Nd2/3TiO3 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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available