Computational methods in cryoelectron microscopy 3D structure reconstruction

Fa Zhang, Xiaohua Wan, Zhiyong Liu

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

This chapter addresses the three-dimensional (3D) reconstruction algorithm and its multilevel parallel strategy on GPU platform. It present an adaptive simultaneous algebraic reconstruction technique (ASART) for incomplete data and noisy conditions. Specifically, the authors develop three key techniques-modified multilevel access scheme (MMAS), adaptive adjustment of relaxation (AAR) parameters, and column sum substitution (CSS) technique, to improve the reconstruction quality and speed of the reconstruction process. The chapter reviews iterative 3D reconstruction methods for electron cryotomography (ET). It focuses on the ASART algorithm. The chapter presents a multilevel parallel strategy for iterative reconstruction algorithm. It shows and analyzes the experimental results. In the chapter, the authors present a multilevel parallel strategy for blob-based iterative reconstruction and implement it on the OpenMP-CUDA architecture.

Original languageEnglish
Title of host publicationAlgorithmic and Artificial Intelligence Methods for Protein Bioinformatics
Publisherwiley
Pages231-251
Number of pages21
ISBN (Electronic)9781118567869
ISBN (Print)9781118345788
DOIs
Publication statusPublished - 1 Jan 2013
Externally publishedYes

Keywords

  • Assembly
  • Image resolution

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