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Zhu, Daan, Razaz, M. and Hemmings, A. 
ORCID: https://orcid.org/0000-0003-3053-3134
(2006)
MLEM deconvolution of protein X-ray diffraction images based on a multiple-PSF model.
IEEE Transactions on Nanobioscience, 5 (2).
pp. 95-102.
ISSN 1536-1241
Abstract
In this paper we analyze the degradation of protein X-ray diffraction images by diffuse light distortion (DLD). In order to correct the degradation, a new multiple point spread function (PSF) model is introduced and used to restore X-ray diffraction image data (XRD). Raw PSFs are collected from isolated spots in high-resolution areas on the diffraction patterns which represent the orientation of DLDs. An adaptive ridge regression (ARR) technique is used to remove noise from the raw PSF data. A target Gaussian function is used to model the raw PSFs. A maximum likelihood expectation maximization (MLEM) algorithm combined with a multi-PSF model is employed to restore high intensity, asymmetrical protein X-ray diffraction data. Experimental results using a single and multiple PSFs are presented and discussed. We show that using a multiple PSF model in the deconvolution algorithm improved the quality of the XRD and as a result the spot integration error (?2) and corresponding electron density map are improved.
| Item Type: | Article |
|---|---|
| Faculty \ School: | Faculty of Science > School of Biological Sciences |
| UEA Research Groups: | Faculty of Science > Research Groups > Biophysical Chemistry (former - to 2017) Faculty of Science > Research Groups > Molecular Microbiology Faculty of Science > Research Groups > Plant Sciences Faculty of Science > Research Groups > Chemistry of Life Processes Faculty of Science > Research Centres > Centre for Molecular and Structural Biochemistry |
| Depositing User: | Users 2731 not found. |
| Date Deposited: | 25 May 2011 11:05 |
| Last Modified: | 24 Oct 2022 01:38 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/31336 |
| DOI: | 10.1109/TNB.2006.875046 |
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