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

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

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 (US)
Pages (from-to)196-208
Number of pages13
JournalJournal of Structural Biology
Volume199
Issue number3
DOIs
StatePublished - Jul 26 2017

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