低温电子层析成像
电子断层摄影术
生物
断层摄影术
断层重建
分辨率(逻辑)
软件
人工智能
低温电子显微
可视化
模式识别(心理学)
计算机科学
计算机视觉
生物系统
迭代重建
物理
生物物理学
电子显微镜
光学
扫描透射电子显微镜
程序设计语言
作者
Kendra E. Leigh,Paula P. Navarro,Stefano Scaramuzza,Wenbo Chen,Yingyi Zhang,Daniel Castaño-Díez,Mikhail Kudryashev
标识
DOI:10.1016/bs.mcb.2019.04.003
摘要
Cryo-electron tomography (cryo-ET) allows three-dimensional (3D) visualization of frozen-hydrated biological samples, such as protein complexes and cell organelles, in near-native environments at nanometer scale. Protein complexes that are present in multiple copies in a set of tomograms can be extracted, mutually aligned, and averaged to yield a signal-enhanced 3D structure up to sub-nanometer or even near-atomic resolution. This technique, called subtomogram averaging (StA), is powered by improvements in EM hardware and image processing software. Importantly, StA provides unique biological insights into the structure and function of cellular machinery in close-to-native contexts. In this chapter, we describe the principles and key steps of StA. We briefly cover sample preparation and data collection with an emphasis on image processing procedures related to tomographic reconstruction, subtomogram alignment, averaging, and classification. We conclude by summarizing current limitations and future directions of this technique with a focus on high-resolution StA.
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