A Method for Generation of Synthetic 2D and 3D Cryo-EM Images

 
PIIS000523100000513-8-1
DOI10.31857/S000523100000513-8
Publication type Article
Status Published
Authors
Affiliation: Laboratory of Mathematical Methods of Image Processing, Department of Computational Mathematics and Cybernetics, Moscow State University
Address: Russian Federation, Moscow
Affiliation: Laboratory of Mathematical Methods of Image Processing, Department of Computational Mathematics and Cybernetics, Moscow State University
Address: Russian Federation, Moscow
Affiliation: Laboratory of Mathematical Methods of Image Processing, Department of Computational Mathematics and Cybernetics, Moscow State University
Address: Russian Federation, Moscow
Journal nameProgrammirovanie
EditionIssue 4
Pages46-54
Abstract

Cryo-electron microscopy (cryo-EM) is widely used in structural biology for resolving 3D models of particles with Angstrom resolution. The most popular techniques for such high-resolution model reconstruction are single-particle cryo-EM and cryo-electron tomography (cryo-ET). The cornerstone of both techniques is the registration of images: 2D images in cryo-EM and 3D images in cryo-ET. There are several registration methods for 2D and 3D cryo-EM images; however, it is hard to evaluate these methods due to the lack of ground truth for real data. Moreover, evaluation of image registration methods on real data is complicated by a high level of noise. In this paper, we propose image synthesis methods for generating realistic 2D single-particle cryo-EM images and 3D cryo-ET subtomogram images. The proposed algorithms model the artifacts typical of the real EM image acquisition pipeline: EM-specific noise, missing wedge effect, 2D projection, and contrast transfer function. We also present some examples of the 2D and 3D synthetic images generated.

Keywords
Received01.10.2018
Publication date07.10.2018
Number of characters1418
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