2017Han AuTom

Citation

Han, R.; Wan, X.; Wang, Z.; Hao, Y.; Zhang, J.; Chen, Y.; Gao, X.; Liu, Z.; Ren, F.; Sun, F. & Zhang, F. AuTom: A novel automatic platform for electron tomography reconstruction. Journal of structural biology, 2017, 199, 196-208

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.

Links

https://www.ncbi.nlm.nih.gov/pubmed/28756247