Automatic Particle Picking from Cryo-Electron Microscopy Images by Using Partial Least Squares

Author

Wu, Xiaorong

Author_Institution

Sch. of CISCO Inf., Guangdong Univ. of Foreign Study, Guangzhou, China

fYear

2011

fDate

10-12 May 2011

Firstpage

1

Lastpage

4

Abstract

Single-particle analysis is a three-dimensional (3D) structure determining technique using electron microscopy. In this technique, a large number of projections is required to create 3D reconstruction. Manual selection of particles, by visual observation of the micrographs on a computer screen, is recognized as a bottleneck in automated single-particle reconstruction. In this paper, we established a brand-new method which is based on partial least squares theory. After initial selection for candidate particles, a PLS recognition model is set up to identify the needed particles from the candidates.

Keywords

biological techniques; biology computing; biothermics; feature extraction; image reconstruction; least squares approximations; molecular biophysics; transmission electron microscopy; 3D reconstruction; automatic particle picking; computer screen; cryoelectron microscopy images; micrographs; partial least squares; particle selection; projections; single-particle analysis; three-dimensional structure; Biology; Feature extraction; Image reconstruction; Microscopy; Principal component analysis; Three dimensional displays; Training;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Biomedical Engineering, (iCBBE) 2011 5th International Conference on

Conference_Location

Wuhan

ISSN

2151-7614

Print_ISBN

978-1-4244-5088-6

Type

conf

DOI

10.1109/icbbe.2011.5780224

Filename

5780224