AuTom: A novel automatic platform for electron tomography reconstruction

Renmin Han, Xiaohua Wan, Zihao Wang, Yu Hao, Jingrong Zhang, Yu Chen, Xin Gao, Zhiyong Liu, Fei Ren, Fei Sun*, Fa Zhang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)

Abstract

We have developed a software package towards automatic electron tomography (ET): Automatic Tomography (AuTom). The presented package has the following characteristics: accurate alignment modules for marker-free datasets containing substantial biological structures; fully automatic alignment modules for datasets with fiducial markers; wide coverage of reconstruction methods including a new iterative method based on the compressed-sensing theory that suppresses the “missing wedge” effect; and multi-platform acceleration solutions that support faster iterative algebraic reconstruction. AuTom aims to achieve fully automatic alignment and reconstruction for electron tomography and has already been successful for a variety of datasets. AuTom also offers user-friendly interface and auxiliary designs for file management and workflow management, in which fiducial marker-based datasets and marker-free datasets are addressed with totally different subprocesses. With all of these features, AuTom can serve as a convenient and effective tool for processing in electron tomography.

Original languageEnglish
Pages (from-to)196-208
Number of pages13
JournalJournal of Structural Biology
Volume199
Issue number3
DOIs
Publication statusPublished - Sept 2017
Externally publishedYes

Keywords

  • Alignment
  • Electron tomography
  • Image processing workflow
  • Reconstruction

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