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.
Other formats:   BibTeX LaTeX RIS
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
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
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 2154-512X
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
Tags CBIA, cbia-web
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 30/4/2019 06:09.
Abstract
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).
PrintDisplayed: 9/7/2024 08:24