Department of Biochemistry and Molecular Biology, The Penn State College of Medicine, Hershey, PA, USA.
Methods Mol Biol. 2021;2215:25-48. doi: 10.1007/978-1-0716-0966-8_2.
Cryo-electron tomography is fast becoming a preferred method for studying intracellular environments at the molecular scale. Increases in data collection throughput means that large numbers of tomograms can be generated at rates too fast for humans to easily explore quantitatively. Currently, there is a large effort to make data collection and segmentation tools more automated. Here, we describe a workflow for preparing cultured neurons on electron microscopy grids, batch tomographic data collection, reconstruction and automatic segmentation using freely and commercially available software.
低温电子断层扫描技术正在迅速成为研究细胞内环境的首选方法,可在分子尺度上进行研究。随着数据采集通量的增加,可以以人类难以轻松进行定量分析的速度生成大量断层扫描图像。目前,人们正在努力使数据采集和分割工具更加自动化。在这里,我们描述了一种在电子显微镜网格上准备培养神经元、批量断层扫描数据采集、使用免费和商业上可用的软件进行重建和自动分割的工作流程。