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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 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.
Original language | English |
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Article number | 364001 |
Journal | Nanotechnology |
Volume | 27 |
Issue number | 36 |
DOIs | |
Publication status | Published - 1 Aug 2016 |
Keywords
- image denoising
- multivariate statistical analysis
- nano characterization
- spectrum imaging
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Dive into the research topics of 'Non-rigid registration and non-local principle component analysis to improve electron microscopy spectrum images'. Together they form a unique fingerprint.Projects
- 1 Finished
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Next Generation Multi-Dimensional X-ray Imaging
Withers, P., Burke, G., Cernik, R., Haigh, S., Lee, P. & Lionheart, W.
1/02/15 → 31/01/20
Project: Research