Abstract：
Cryo-electron tomography (cryo-ET) has begun to provide intricate views of cellular architecture at unprecedented resolutions. Considerable efforts are being made to further optimize and automate the cryo-ET workflow, from sample preparation to data acquisition and analysis, to enable visual proteomics inside of cells. Here, we will discuss the latest advances in cryo-ET that go hand in hand with their application to the actin cytoskeleton. The development of deep learning tools for automated annotation of tomographic reconstructions and the serial lift-out sample preparation procedure will soon make it possible to perform high-resolution structural biology in a whole new range of samples, from multicellular organisms to organoids and tissues.
摘要：
低温电子层析成像（cryo-ET）已经开始以前所未有的分辨率提供细胞结构的复杂视图。正在做出相当大的努力来进一步优化和自动化cryo-ET工作流程，从样品制备到数据采集和分析，实现细胞内的视觉蛋白质组学。这里,我们将讨论cryo-ET的最新进展，这些进展与它们在肌动蛋白细胞骨架中的应用密切相关。用于层析成像重建自动注释的深度学习工具的开发和连续剥离样品制备程序将很快使在全新的样品范围内执行高分辨率结构生物学成为可能。从多细胞生物到类器官和组织。
