Max Planck Institute of Biochemistry, Department of Molecular Structural Biology, Am Klopferspitz 18, D-82152 Martinsried, Germany.
J Struct Biol. 2011 Sep;175(3):394-405. doi: 10.1016/j.jsb.2011.06.003. Epub 2011 Jun 17.
Automated data acquisition expedites structural studies by electron microscopy and it allows to collect data sets of unprecedented size and consistent quality. In electron tomography it greatly facilitates the systematic exploration of large cellular landscapes and in single particle analysis it allows to generate data sets for an exhaustive classification of coexisting molecular states. Here we describe a novel software philosophy and architecture that can be used for a great variety of automated data acquisition scenarios. Based on our original software package TOM, the new TOM(2) package has been designed in an object-oriented way. The whole program can be seen as a collection of self-sufficient modules with defined relationships acting in a concerted manner. It subdivides data acquisition into a set of hierarchical tasks, bonding data structure and the operations to be performed tightly together. To demonstrate its capacity for high-throughput data acquisition it has been used in conjunction with instrumentation combining the latest technological achievements in electron optics, cryogenics and robotics. Its performance is demonstrated with a single particle analysis case study and with a batch tomography application.
自动化数据采集通过电子显微镜加速了结构研究,并且允许收集具有空前规模和一致质量的数据组。在电子断层扫描中,它极大地促进了对大型细胞景观的系统探索,在单颗粒分析中,它允许生成数据集,以对共存的分子状态进行详尽的分类。在这里,我们描述了一种新的软件理念和架构,可用于各种自动化数据采集场景。基于我们原始的软件包 TOM,新的 TOM(2) 软件包采用面向对象的方式设计。整个程序可以看作是一组自足的模块,它们以协同的方式定义关系并协同工作。它将数据采集细分为一组层次任务,将数据结构和要执行的操作紧密结合在一起。为了展示其在高通量数据采集方面的能力,它与结合了电子光学、低温学和机器人技术最新技术成就的仪器一起使用。它的性能通过单颗粒分析案例研究和批量断层扫描应用程序来演示。