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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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).

Název v anglickém jazyce

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

Popis výsledku anglicky

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).

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA), 2017

ISBN

9781538618424

ISSN

2154-512X

e-ISSN

—

Počet stran výsledku

6

Strana od-do

1-6

Název nakladatele

IEEE

Místo vydání

Montreal

Místo konání akce

Montreal, Canada

Datum konání akce

1. 1. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000428743900049