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相关概念视频

Cryo-electron Microscopy01:28

Cryo-electron Microscopy

3.3K
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...
3.3K
Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

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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...
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相关实验视频

Updated: Jun 21, 2025

A Robust Single-Particle Cryo-Electron Microscopy cryo-EM Processing Workflow with cryoSPARC, RELION, and Scipion
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A Robust Single-Particle Cryo-Electron Microscopy cryo-EM Processing Workflow with cryoSPARC, RELION, and Scipion

Published on: January 31, 2022

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使用冷电子显微镜地图和贝叶斯推断推理精确的模型和集合精细化.

Samuel E Hoff1, F Emil Thomasen2, Kresten Lindorff-Larsen2

  • 1Institut Pasteur, Université Paris Cité, CNRS UMR 3528, Computational Structural Biology Unit, Paris, France.

PLoS computational biology
|July 15, 2024
PubMed
概括

EMMIVox是一种新的贝叶斯方法,用于从冷电子显微镜数据中构建高质量的结构模型. 它平衡实验适合与物理现实主义,提高准确性和捕捉分子灵活性.

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Single Particle Cryo-Electron Microscopy: From Sample to Structure
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Single Particle Cryo-Electron Microscopy: From Sample to Structure

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Author Spotlight: Optimizing Cryo-EM Analysis with CryoSieve for Enhanced Particle Selection Efficiency
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Author Spotlight: Optimizing Cryo-EM Analysis with CryoSieve for Enhanced Particle Selection Efficiency

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相关实验视频

Last Updated: Jun 21, 2025

A Robust Single-Particle Cryo-Electron Microscopy cryo-EM Processing Workflow with cryoSPARC, RELION, and Scipion
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A Robust Single-Particle Cryo-Electron Microscopy cryo-EM Processing Workflow with cryoSPARC, RELION, and Scipion

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Author Spotlight: Optimizing Cryo-EM Analysis with CryoSieve for Enhanced Particle Selection Efficiency
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Author Spotlight: Optimizing Cryo-EM Analysis with CryoSieve for Enhanced Particle Selection Efficiency

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科学领域:

  • 结构生物学是结构生物学.
  • 生物物理学的生物物理.
  • 计算生物学是一种计算生物学.

背景情况:

  • 低温电子显微镜 (cryo-EM) 对于确定分子结构至关重要.
  • 当前的精制方法往往会损害数据合适的立体化学质量.
  • 在冷电磁图中表示形状异质性仍然是一个挑战.

研究的目的:

  • 开发一种新的贝叶斯推理方法,用于冷EM数据分析.
  • 创建高质量的单一结构模型和结构组合.
  • 为了改善实验数据适合性和物理化学准确性之间的平衡.

主要方法:

  • EMMIVox:一个贝叶斯推断方法用于冷EM数据.
  • 实验数据与物理化学模型的自动平衡.
  • 包括环境因素 (水,脂质,离子) 和数据相关性.
  • 推断模型质量的准确B因子.

主要成果:

  • 埃米维沃克斯 (EMMIVox) 能够产生结构模型,这些模型非常适合冷电磁数据.
  • 达到高立体化学质量,优于当前的方法.
  • 成功确定结构组合,捕捉形状异质性.
  • 为改进模型解释提供准确的B因子.

结论:

  • EMMIVox为冷-EM模型构建提供了一种灵活而强大的方法.
  • 提高了从冷-EM中获得的结构模型的准确性和可靠性.
  • 有助于更深入地了解生物系统中的分子机制.