Electron microscopy of macromolecular structures is an approach that is in increasing demand in the field of structural biology. The automation of image acquisition has greatly increased the potential throughput of electron microscopy. Here, the focus is on the possibilities in Scipion to implement flexible and robust image-processing workflows that allow the electron-microscope operator and the user to monitor the quality of image acquisition, assessing very simple acquisition measures or obtaining a first estimate of the initial volume, or the data resolution and heterogeneity, without any need for programming skills. These workflows can implement intelligent automatic decisions and they can warn the user of possible acquisition failures. These concepts are illustrated by analysis of the well known 2.2 Å resolution β-galactosidase data set.

中文翻译：

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使用 Scipion 进行动态电子显微镜单粒子图像处理的灵活工作流程。

大分子结构的电子显微镜是结构生物学领域需求不断增加的一种方法。图像采集的自动化极大地提高了电子显微镜的潜在吞吐量。这里，重点是在 Scipion 中实现灵活且强大的图像处理工作流程的可能性，该工作流程允许电子显微镜操作员和用户监控图像采集的质量，评估非常简单的采集措施或获得初始估计值量，或数据分辨率和异构性，无需任何编程技能。这些工作流程可以实现智能自动决策，并且可以警告用户可能的采集失败。这些概念通过对众所周知的 2.2 Å 分辨率 β-半乳糖苷酶数据集的分析得到说明。