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冷冻电镜方法的数据采集新进展。

Recent advances in data collection for Cryo-EM methods.

机构信息

Chan Zuckerberg Institute for Advanced Biological Imaging (CZ Imaging Institute), 3400 Bridge Parkway, Redwood City CA 94065, USA.

Chan Zuckerberg Institute for Advanced Biological Imaging (CZ Imaging Institute), 3400 Bridge Parkway, Redwood City CA 94065, USA.

出版信息

Curr Opin Struct Biol. 2024 Jun;86:102795. doi: 10.1016/j.sbi.2024.102795. Epub 2024 Mar 13.

DOI:10.1016/j.sbi.2024.102795
PMID:38484552
Abstract

Methods of transmission electron microscopy (TEM) are typically used to resolve structures of vitrified biological specimens using both single particle analysis (SPA) and tomographic methods and use both conventional as well as scanning transmission modes of data collection. Automation of data collection for each method has been developed to different levels of convenience for the users. Automation of methods using the conventional TEM mode has progressed the furthest. Beam-image shift strategies first used in data collection for SPA were shown to be equally valuable for cryo-electron tomography (cryo-ET). Machine learning methods have been applied for target selection and for planning optimal paths of data collection for SPA. These methods also enabled automated screening. Apertures matching the square shape of cameras have been recently described. Some progress has also been made in the automation of cryo applications of scanning TEM, promising an increase of throughput and potential for further improvement.

摘要

透射电子显微镜(TEM)的方法通常用于使用单颗粒分析(SPA)和断层扫描方法解析玻璃化生物样本的结构,并使用传统和扫描透射两种模式进行数据采集。每种方法的数据采集自动化已经发展到了不同程度的方便用户使用。使用传统 TEM 模式的方法自动化程度最高。在 SPA 数据采集过程中首次使用的束像移策略对于冷冻电子断层扫描(cryo-ET)同样具有价值。机器学习方法已被应用于目标选择和 SPA 数据采集的最佳路径规划。这些方法还实现了自动化筛选。最近还描述了与相机正方形形状匹配的孔径。扫描 TEM 冷冻应用的自动化也取得了一些进展,有望提高通量并进一步提高潜力。

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