Ab initio reconstruction and experimental design for cryo electron microscopy

Author

Doerschuk, Peter C. ; Johnson, John E.

Author_Institution

Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA

Volume

46

Issue

5

fYear

2000

fDate

8/1/2000 12:00:00 AM

Firstpage

1714

Lastpage

1729

Abstract

A statistical model for the object and the complete image formation process in the cryo electron microscopy of viruses is presented. Using this model, maximum-likelihood reconstructions of the three-dimensional (3-D) structure of viruses are computed using the expectation maximization algorithm, and alternative experimental designs are evaluated based on Cramer-Rao bounds. Numerical examples of the reconstructions and experimental design evaluations are provided based on Cowpea mosaic virus

Keywords

biological techniques; biology computing; electron microscopy; image reconstruction; iterative methods; low-temperature techniques; maximum likelihood estimation; microorganisms; statistical analysis; Cowpea mosaic virus; Cramer-Rao bounds; ab initio reconstruction; cryo electron microscopy; expectation maximization algorithm; experimental design; image formation process; maximum-likelihood reconstructions; statistical model; three-dimensional structure; viruses; Biology computing; Design for experiments; Electron beams; Electron microscopy; Fourier transforms; Image reconstruction; Military computing; Particle scattering; Pixel; Viruses (medical);

fLanguage

English

Journal_Title

Information Theory, IEEE Transactions on

Publisher

ieee

ISSN

0018-9448

Type

jour

DOI

10.1109/18.857786

Filename

857786