Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Cryo-electron Microscopy01:28

Cryo-electron Microscopy

3.4K
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...
3.4K
Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

2.4K
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...
2.4K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

AlignPCA-2D: PCA-reduced Euclidean vector alignment for 2D classification in cryo-EM.

Acta crystallographica. Section D, Structural biology·2026
Same author

Rational acquisition of laboratory equipment: an accurate mathematical model to estimate the trade-offs in shared and nonshared equipment.

Acta crystallographica. Section D, Structural biology·2026
Same author

Annexin A2 stabilizes the endoplasmic reticulum and actin cytoskeleton and influences the formation of reovirus factories.

Journal of virology·2025
Same author

How many (distinguishable) classes can we identify in single-particle analysis?

Acta crystallographica. Section D, Structural biology·2025
Same author

Automatic detection of alignment errors in cryo-electron tomography.

Journal of structural biology·2024
Same author

Real-space heterogeneous reconstruction, refinement, and disentanglement of CryoEM conformational states with HetSIREN.

bioRxiv : the preprint server for biology·2024

相关实验视频

Updated: Jul 15, 2025

Single-Particle Cryo-EM Data Collection with Stage Tilt using Leginon
04:52

Single-Particle Cryo-EM Data Collection with Stage Tilt using Leginon

Published on: July 1, 2022

2.4K

在冷电子显微镜单颗粒分析中的局部失焦估计.

E Fernandez-Gimenez1, J M Carazo2, C O S Sorzano2

  • 1Centro Nac. Biotecnologia (CSIC), c/Darwin, 3, 28049 Cantoblanco, Madrid, Spain; Univ. Autonoma de Madrid, 28049 Cantoblanco, Madrid, Spain.

Journal of structural biology
|September 27, 2023
PubMed
概括

在单颗粒分析 (SPA) 中进行局部失焦估计对于高分辨率蛋白质结构至关重要. 目前的软件显示没有共识,表明需要进一步发展对比转移函数 (CTF) 估计.

关键词:
在CTF中,我们可以使用CTF.化电磁波是一种冷电磁波.失焦 失焦 失焦 失焦高分辨率的高分辨率当地失焦 地方失焦这是一个SPA SPA.

更多相关视频

Single Particle Cryo-Electron Microscopy: From Sample to Structure
11:52

Single Particle Cryo-Electron Microscopy: From Sample to Structure

Published on: May 29, 2021

8.6K
Cryo-EM and Single-Particle Analysis with Scipion
09:06

Cryo-EM and Single-Particle Analysis with Scipion

Published on: May 29, 2021

3.8K

相关实验视频

Last Updated: Jul 15, 2025

Single-Particle Cryo-EM Data Collection with Stage Tilt using Leginon
04:52

Single-Particle Cryo-EM Data Collection with Stage Tilt using Leginon

Published on: July 1, 2022

2.4K
Single Particle Cryo-Electron Microscopy: From Sample to Structure
11:52

Single Particle Cryo-Electron Microscopy: From Sample to Structure

Published on: May 29, 2021

8.6K
Cryo-EM and Single-Particle Analysis with Scipion
09:06

Cryo-EM and Single-Particle Analysis with Scipion

Published on: May 29, 2021

3.8K

科学领域:

  • 低温电子显微镜的使用方法
  • 结构生物学是结构生物学.
  • 生物物理学的生物物理.

背景情况:

  • 单颗粒分析 (SPA) 允许近原子分辨率的蛋白质结构的确定.
  • 精确的对比转移函数 (CTF) 估计,包括样本失焦,对于高分辨率的SPA至关重要.
  • 由于冰层沉积深度的变化,传统的全球失焦估计可能不足.

研究的目的:

  • 为了比较最先进的软件在SPA中进行局部失焦估计的性能.
  • 评估局部失焦测量是否改善了高分辨率结构的确定.
  • 评估不同地方脱焦估计计划之间的共识.

主要方法:

  • 使用Scipion框架进行数据分析.
  • 开发了一个专门用于本地失焦分析的程序.
  • 我们比较了四个领先的软件包:Gctf,Relion,CryoSPARC和Xmipp.

主要成果:

  • 评估的局部失焦估计结果来自四个不同的软件包.
  • 观察到在当前数据集上测试的程序中缺乏明确的共识.
  • 没有发现可归因于使用现有方法进行局部失焦估计的分辨率的最终改善.

结论:

  • 目前在SPA中用于局部失焦估计的最新软件缺乏共识.
  • 需要进一步改进和验证本地失焦估计方法.
  • 当地失焦校正对实现更高分辨率结构的影响需要继续调查.