King Abdullah University of Science and Technology (KAUST), Computational Bioscience Research Center (CBRC), Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, Thuwal 23955-6900, Saudi Arabia.
Key Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China.
J Struct Biol. 2017 Sep;199(3):196-208. doi: 10.1016/j.jsb.2017.07.008. Epub 2017 Jul 26.
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.
我们开发了一个用于自动电子断层扫描(ET)的软件包:自动断层扫描(AuTom)。该软件包具有以下特点:适用于包含大量生物结构的无标记数据集的精确对准模块;具有基准标记数据集的全自动对准模块;广泛的重建方法覆盖,包括一种基于压缩感知理论的新迭代方法,可抑制“缺失楔形”效应;以及支持更快迭代代数重建的多平台加速解决方案。AuTom 旨在实现电子断层扫描的全自动对准和重建,已经成功应用于各种数据集。AuTom 还提供了用户友好的界面和辅助设计,用于文件管理和工作流程管理,其中基于基准标记的数据集和无标记数据集采用完全不同的子流程。凭借所有这些功能,AuTom 可以作为电子断层扫描处理的便捷有效工具。