MLEM deconvolution of protein X-ray diffraction images based on a multiple-PSF model

Zhu, Daan, Razaz, M. and Hemmings, A. (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

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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
Depositing User: Users 2731 not found.
Date Deposited: 25 May 2011 11:05
Last Modified: 17 Sep 2020 23:41
URI: https://ueaeprints.uea.ac.uk/id/eprint/31336
DOI: 10.1109/TNB.2006.875046

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