Optimization of Three-Dimensional (3D) Chemical Imaging by Soft X-Ray Spectro-Tomography Using a Compressed Sensing Algorithm.
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Authors
Wu, Juan
Lerotic, Mirna
Leary, Rowan
Berejnov, Slava
Susac, Darija
Stumper, Juergen
Singh, Gurvinder
Hitchcock, Adam P
Publication Date
2017-10Journal Title
Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada
ISSN
1431-9276
Publisher
Cambridge University Press
Volume
23
Issue
5
Pages
951-966
Language
eng
Type
Article
This Version
AM
Physical Medium
Print-Electronic
Metadata
Show full item recordCitation
Wu, J., Lerotic, M., Collins, S., Leary, R., Saghi, Z., Midgley, P., Berejnov, S., et al. (2017). Optimization of Three-Dimensional (3D) Chemical Imaging by Soft X-Ray Spectro-Tomography Using a Compressed Sensing Algorithm.. Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada, 23 (5), 951-966. https://doi.org/10.1017/s1431927617012466
Abstract
Soft X-ray spectro-tomography provides 3D chemical mapping based on natural X-ray absorption properties. Since radiation damage is intrinsic to X-ray absorption, it is important to find ways to maximize signal within a given dose. For tomography, using the smallest number of tilt series images that gives a faithful reconstruction is one such method. Compressed sensing (CS) methods have relatively recently been applied to tomographic reconstruction algorithms, providing faithful 3D reconstructions with a much smaller number of projection images than
when conventional reconstruction methods are used. Here, CS is applied in the context of scanning transmission X-ray microscopy tomography. Reconstructions by weighted back-projection, the simultaneous iterative reconstruction technique, and CS are compared. The effects of varying tilt angle increment and angular range for the tomographic reconstructions are examined. Optimization of the regularization parameter in the CS reconstruction is explored and discussed. The comparisons show that CS can provide improved reconstruction fidelity relative to weighted back projection and simultaneous iterative reconstruction techniques, with
increasingly pronounced advantages as the angular sampling is reduced. In particular, missing wedge artefacts are significantly reduced and there is enhanced recovery of sharp edges. Examples of using CS for low-dose scanning transmission X-ray microscopy spectroscopic tomography are presented.
Sponsorship
European Research Council (291522)
EC FP6 III (26019)
EC FP7 CP WITH CSA (312483)
Identifiers
External DOI: https://doi.org/10.1017/s1431927617012466
This record's URL: https://www.repository.cam.ac.uk/handle/1810/291166
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