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

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...

Full description

Saved in:
Bibliographic Details
Published in:Programming and computer software 2018-07, Vol.44 (4), p.240-247
Main Authors: Anoshina, N. A., Sagindykov, T. B., Sorokin, D. V.
Format: Article
Language:English
Subjects:
Algorithms
Artificial Intelligence
Atoms & subatomic particles
Computer Science
Electron microscopes
Image acquisition
Image contrast
Image reconstruction
Image registration
Methods
Operating Systems
Proteins
Radiation
Registration
Software Engineering
Software Engineering/Programming and Operating Systems
Synthetic data
Three dimensional imaging
Three dimensional models
Transfer functions
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:0361-7688
1608-3261
DOI:10.1134/S0361768818040023