Deterministic X-ray Bragg coherent diffraction imaging as a seed for subsequent iterative reconstruction

Author(s)
Pavlov, Konstantin M
Morgan, Kaye S
Punegov, Vasily I
Paganin, David M
Publication Date
2018-08-29
Abstract
Coherent diffractive imaging (CDI), using both x-rays and electrons, has made extremely rapid progress over the past two decades. The associated reconstruction algorithms are typically iterative, and seeded with a crude first estimate. A deterministic method for Bragg Coherent Diffraction Imaging (Pavlov et al 2017 Sci. Rep. 7 1132) is used as a more refined starting point for a shrink-wrap iterative reconstruction procedure. The appropriate comparison with the autocorrelation function as a starting point is performed. Real-space and Fourier-space error metrics are used to analyse the convergence of the reconstruction procedure for noisy and noise-free simulated data. Our results suggest that the use of deterministic-CDI reconstructions, as a seed for subsequent iterative-CDI refinement, may boost the speed and degree of convergence compared to the cruder seeds that are currently commonly used. We also highlight the utility of monitoring multiple error metrics in the context of iterative refinement.
Citation
Journal of Physics Communications, 2(8), p. 1-9
ISSN
2399-6528
Link
Publisher
Institute of Physics Publishing Ltd
Rights
Attribution 4.0 International
Title
Deterministic X-ray Bragg coherent diffraction imaging as a seed for subsequent iterative reconstruction
Type of document
Journal Article
Entity Type
Publication

Files:

NameSizeformatDescriptionLink