Open Access
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IUCrJ, volume 6, issue 1, pages 5-17

A Bayesian approach to beam-induced motion correction in cryo-EM single-particle analysis

Zivanov Jasenko 1
Nakane Takanori 1
Scheres Sjors H. W. 1
1
 
Medical Research Council Laboratory of Molecular Biology, Cambridge CB2 0QH, England
Publication typeJournal Article
Publication date2019-01-01
Journal: IUCrJ
Quartile SCImago
Q1
Quartile WOS
Q1
Impact factor3.9
ISSN20522525
General Chemistry
Biochemistry
Condensed Matter Physics
General Materials Science
Abstract

A new method to estimate the trajectories of particle motion and the amount of cumulative beam damage in electron cryo-microscopy (cryo-EM) single-particle analysis is presented. The motion within the sample is modelled through the use of Gaussian process regression. This allows a prior likelihood that favours spatially and temporally smooth motion to be associated with each hypothetical set of particle trajectories without imposing hard constraints. This formulation enables the a posteriori likelihood of a set of particle trajectories to be expressed as a product of that prior likelihood and an observation likelihood given by the data, and this a posteriori likelihood to then be maximized. Since the smoothness prior requires three parameters that describe the statistics of the observed motion, an efficient stochastic method to estimate these parameters is also proposed. Finally, a practical algorithm is proposed that estimates the average amount of cumulative radiation damage as a function of radiation dose and spatial frequency, and then fits relative B factors to that damage in a robust way. The method is evaluated on three publicly available data sets, and its usefulness is illustrated by comparison with state-of-the-art methods and previously published results. The new method has been implemented as Bayesian polishing in RELION-3, where it replaces the existing particle-polishing method, as it outperforms the latter in all tests conducted.

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Zivanov J., Nakane T., Scheres S. H. W. A Bayesian approach to beam-induced motion correction in cryo-EM single-particle analysis // IUCrJ. 2019. Vol. 6. No. 1. pp. 5-17.
GOST all authors (up to 50) Copy
Zivanov J., Nakane T., Scheres S. H. W. A Bayesian approach to beam-induced motion correction in cryo-EM single-particle analysis // IUCrJ. 2019. Vol. 6. No. 1. pp. 5-17.
RIS |
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RIS Copy
TY - JOUR
DO - 10.1107/S205225251801463X
UR - https://doi.org/10.1107%2FS205225251801463X
TI - A Bayesian approach to beam-induced motion correction in cryo-EM single-particle analysis
T2 - IUCrJ
AU - Zivanov, Jasenko
AU - Nakane, Takanori
AU - Scheres, Sjors H. W.
PY - 2019
DA - 2019/01/01 00:00:00
PB - International Union of Crystallography (IUCr)
SP - 5-17
IS - 1
VL - 6
PMID - 30713699
SN - 2052-2525
ER -
BibTex |
Cite this
BibTex Copy
@article{2019_Zivanov,
author = {Jasenko Zivanov and Takanori Nakane and Sjors H. W. Scheres},
title = {A Bayesian approach to beam-induced motion correction in cryo-EM single-particle analysis},
journal = {IUCrJ},
year = {2019},
volume = {6},
publisher = {International Union of Crystallography (IUCr)},
month = {jan},
url = {https://doi.org/10.1107%2FS205225251801463X},
number = {1},
pages = {5--17},
doi = {10.1107/S205225251801463X}
}
MLA
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MLA Copy
Zivanov, Jasenko, et al. “A Bayesian approach to beam-induced motion correction in cryo-EM single-particle analysis.” IUCrJ, vol. 6, no. 1, Jan. 2019, pp. 5-17. https://doi.org/10.1107%2FS205225251801463X.
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