MicroED 自动方法可确定复杂样品的结构

J. Unge, Jieye Lin, Sara J. Weaver, Callie Saeher, Tamir Gonen
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引用次数: 0

摘要

MicroED 的优势之一是只需通过几个亚微米大小的晶体即可确定结构。不过,在衍射效果不理想或样品中含有多种化合物的情况下,收集大量数据集可大幅改善数据。本文介绍了一种使用常用 SerialEM 软件的 MicroED 自动方法。这样就可以在初始设置后,在无人值守的情况下收集数据,通常每天可收集 1000 个数据集,而人工收集的数据集通常为 20-30 个。此外,还介绍了 MicroED 累积处理管道,其中包括从图像转换、数据处理到结构确定的所有步骤。处理流水线 EffortLess 可以将成功的数据集以任何有用的组合方式进行合并,最后给出结构或最佳合并数据。介绍了协议和管道,以及使用 MicroED 自动方法的示例和应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An automated approach to MicroED enables structure determination of complex samples
One of the advantages of MicroED is that a structure can be determined from a few submicro-meter sized crystals only. Nevertheless, collecting a large number of data sets can improve the data substantially in cases where diffraction is not ideal, or the sample contains several compounds. An automated approach to MicroED is presented using the commonly used SerialEM software. This allows unattended data collection after initial setup of typically 1000 data sets per day, where typically 20-30 data sets would be collected manually. Also, a MicroED accostumized processing pipeline that includes all steps from image conversion and data processing to structure determination is presented. The processing pipeline EffortLess merges the successful data sets in any useful combination and finally the structure or the best merged data is presented. The protocols and pipelines together with examples and applications of using an automated approach to MicroED is presented.
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