Correlation-based 2D Registration Method for Single Particle Cryo-EM Images
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F17%3A00102166" target="_blank" >RIV/00216224:14330/17:00102166 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/IPTA.2017.8310125" target="_blank" >http://dx.doi.org/10.1109/IPTA.2017.8310125</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/IPTA.2017.8310125" target="_blank" >10.1109/IPTA.2017.8310125</a>
Alternative languages
Result language
angličtina
Original language name
Correlation-based 2D Registration Method for Single Particle Cryo-EM Images
Original language description
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).
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA), 2017
ISBN
9781538618424
ISSN
2154-512X
e-ISSN
—
Number of pages
6
Pages from-to
1-6
Publisher name
IEEE
Place of publication
Montreal
Event location
Montreal, Canada
Event date
Jan 1, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000428743900049