4.6 Article

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

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

  1. EPSRC UK grant [EP/M010619/1]
  2. Defense Threat Reduction Agency grant [HDTRA1-12-1-0013]
  3. US Department of Energy, Basic Energy Sciences [DE-FG02-08ER46547]
  4. NSF grant [CCF-1418976]
  5. Direct For Computer & Info Scie & Enginr
  6. Division of Computing and Communication Foundations [1418976] Funding Source: National Science Foundation
  7. EPSRC [EP/M010619/1] Funding Source: UKRI
  8. 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.

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