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Electron Microscope Tomography and Single-particle Reconstruction

Electron Microscope Tomography and Single-particle Reconstruction

Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...

Cryo-electron Microscopy

Cryo-electron Microscopy

Conventional electron microscopy (EM) involves dehydration, fixation, and staining of biological samples, which distorts the native state of biological molecules and results in several artifacts. Also, the high-energy electron beam damages the sample and makes it difficult to obtain high-resolution images. These issues can be addressed using cryo-EM, which uses frozen samples and gentler electron beams. The technique was developed by Jacques Dubochet, Joachim Frank, and Richard Henderson, for...

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Updated: Jul 24, 2025

Averaging of Viral Envelope Glycoprotein Spikes from Electron Cryotomography Reconstructions using Jsubtomo

Averaging of Viral Envelope Glycoprotein Spikes from Electron Cryotomography Reconstructions using Jsubtomo

Published on: October 21, 2014

从使用tomoDRGNN的冷电子子卷图学习结构异质性.

Barrett M Powell¹, Joseph H Davis^1,2

¹Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139.

bioRxiv : the preprint server for biology

|July 3, 2023

概括

TomoDRGN分析了冷电子断层扫描 (cryo-ET) 数据中的结构异质性. 这种深度学习工具重建了多种宏分子结构,揭示了复杂的形状变化.

科学领域:

结构生物学结构生物学
生物物理学的生物物理.
计算生物学计算生物学

背景情况:

低温电子断层扫描 (cryo-ET) 能够在它们的原生环境中可视化宏分子复合物.
当前的分析工具假定结构均性,限制了动态或异质复合体的研究.
现有的方法难以表示经历连续构造变化的宏分子.

结论:

托莫DRGN有效地揭示了宏分子复合体中广泛的结构异质性.
已证明在分析原位成像中的核糖体的实用性,捕捉形状变异性.
提供了一种强大的新方法,以高分辨率研究动态生物系统.

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Determination of Molecular Structures of HIV Envelope Glycoproteins using Cryo-Electron Tomography and Automated Sub-tomogram Averaging

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Leveraging Virtual Reality for Immersive Segmentation and Analysis of Cryo-Electron Tomography Data

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Leveraging Virtual Reality for Immersive Segmentation and Analysis of Cryo-Electron Tomography Data

Leveraging Virtual Reality for Immersive Segmentation and Analysis of Cryo-Electron Tomography Data

Published on: January 24, 2025