AN INTRODUCTION TO MAXIMUM-LIKELIHOOD METHODS IN CRYO-EM

被引：64

作者：

Sigworth, Fred J. ^{[1
]}

Doerschuk, Peter C. ^{[2
]}

Carazo, Jose-Maria ^{[3
]}

Scheres, Sjors H. W. ^{[3
]}

机构：

[1] Yale Univ, Dept Cellular & Mol Physiol, New Haven, CT 06520 USA

[2] Cornell Univ, Dept Biomed Engn, Ithaca, NY USA

[3] CSIC, Ctr Nacl Biotecnol, Biocomp Unit, Madrid, Spain

来源：

METHODS IN ENZYMOLOGY, VOL 482: CRYO-EM, PART B: 3-D RECONSTRUCTION | 2010年 / 482卷

基金：

英国医学研究理事会;

关键词：

ELECTRON-MICROSCOPY IMAGES; 3-DIMENSIONAL RECONSTRUCTION; DISORDERED SPECIMENS; PARTICLE SELECTION; CLASSIFICATION; REFINEMENT; MICROGRAPHS; RESOLUTION; ALGORITHM; MACROMOLECULES;

D O I：

10.1016/S0076-6879(10)82011-7

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

The maximum-likelihood method provides a powerful approach to many problems in cryo-electron microscopy (cryo-EM) image processing. This contribution aims to provide an accessible introduction to the underlying theory and reviews existing applications in the field. In addition, current developments to reduce computational costs and to improve the statistical description of cryo-EM images are discussed. Combined with the increasing power of modern computers and yet unexplored possibilities provided by theory, these developments are expected to turn the statistical approach into an essential image-processing tool for the electron microscopist.

引用

页码：263 / 294

页数：32

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