Correlation-based 2D Registration Method for Single Particle
Cryo-EM Images

D 2017

Correlation-based 2D Registration Method for Single Particle Cryo-EM Images

ANOSHINA, Nadezhda A., Andrey S. KRYLOV and Dmitry SOROKIN

Basic information

Original name

Correlation-based 2D Registration Method for Single Particle Cryo-EM Images

Authors

ANOSHINA, Nadezhda A. (643 Russian Federation), Andrey S. KRYLOV (643 Russian Federation) and Dmitry SOROKIN (643 Russian Federation, guarantor, belonging to the institution)

Edition

Montreal, Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA), 2017, p. 1-6, 6 pp. 2017

Publisher

IEEE

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

RIV identification code

RIV/00216224:14330/17:00102166

Organization unit

Faculty of Informatics

ISBN

978-1-5386-1842-4

ISSN

DOI

http://dx.doi.org/10.1109/IPTA.2017.8310125

UT WoS

000428743900049

Keywords in English

Image registration; cryo-electron microscopy; cryo-EM particle alignment

Abstract

V originále

The amount of image data generated in single particle cryo-electron microscopy (cryo-EM) is huge. This technique is based on the reconstruction of the 3D model of a particle using its 2D projections. The most common way to reduce the noise in particle projection images is averaging. The essential step before the averaging is the alignment of projections. In this work, we propose a fast 2D rigid registration approach for alignment of particle projections in single particle cryo- EM. We used cross-correlation in Fourier domain combined with polar transform to find the rotation angle invariant to the shift between the images. For translation vector estimation we used a fast version of upsampled image correlation. Our approach was evaluated on specifically created synthetic dataset. An experimental comparison with a a widely used in existing software iterative method has been performed. In addition, it was successfully applied to a real dataset from the Electron Microscopy Data Bank (EMDB).

Citovat

ANOSHINA, Nadezhda A., Andrey S. KRYLOV and Dmitry SOROKIN. Correlation-based 2D Registration Method for Single Particle Cryo-EM Images. Online. In Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA), 2017. Montreal: IEEE, 2017, p. 1-6. ISBN 978-1-5386-1842-4. Available from: https://dx.doi.org/10.1109/IPTA.2017.8310125.

@inproceedings{1401861,
   author = {Anoshina, Nadezhda A. and Krylov, Andrey S. and Sorokin, Dmitry},
   address = {Montreal},
   booktitle = {Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA), 2017},
   doi = {http://dx.doi.org/10.1109/IPTA.2017.8310125},
   keywords = {Image registration; cryo-electron microscopy; cryo-EM particle alignment},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Montreal},
   isbn = {978-1-5386-1842-4},
   pages = {1-6},
   publisher = {IEEE},
   title = {Correlation-based 2D Registration Method for Single Particle Cryo-EM Images},
   year = {2017}
}

TY  - JOUR
ID  - 1401861
AU  - Anoshina, Nadezhda A. - Krylov, Andrey S. - Sorokin, Dmitry
PY  - 2017
TI  - Correlation-based 2D Registration Method for Single Particle Cryo-EM Images
PB  - IEEE
CY  - Montreal
SN  - 9781538618424
KW  - Image registration
KW  - cryo-electron microscopy
KW  - cryo-EM particle alignment
N2  - The amount of image data generated in single particle cryo-electron microscopy (cryo-EM) is huge. This technique is based on the reconstruction of the 3D model of a particle using its 2D projections. The most common way to reduce the noise in particle projection images is averaging. The essential step before the averaging is the alignment of projections. In this work, we propose a fast 2D rigid registration approach for alignment of particle projections in single particle cryo- EM. We used cross-correlation in Fourier domain combined with polar transform to find the rotation angle invariant to the shift between the images. For translation vector estimation we used a fast version of upsampled image correlation. Our approach was evaluated on specifically created synthetic dataset. An experimental comparison with a a widely used in existing software iterative method has been performed. In addition, it was successfully applied to a real dataset from the Electron Microscopy Data Bank (EMDB).
ER  -

ANOSHINA, Nadezhda A., Andrey S. KRYLOV and Dmitry SOROKIN. Correlation-based 2D Registration Method for Single Particle Cryo-EM Images. Online. In \textit{Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA), 2017}. Montreal: IEEE, 2017, p.~1-6. ISBN~978-1-5386-1842-4. Available from: https://dx.doi.org/10.1109/IPTA.2017.8310125.

Detailed Information on Publication Record