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

3.2K
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...
3.2K
Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

2.3K
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...
2.3K

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

Subspace Method of Moments for <i>Ab Initio</i> 3-D Single Particle Cryo-EM Reconstruction.

SIAM journal on imaging sciences·2026
Same author

Bayesian perspective for orientation determination in cryo-EM with application to structural heterogeneity analysis.

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

FAST EXPANSION INTO HARMONICS ON THE BALL.

SIAM journal on scientific computing : a publication of the Society for Industrial and Applied Mathematics·2026
Same author

MANIFOLD LEARNING IN METRIC SPACES.

Applied and computational harmonic analysis·2026
Same author

Bayesian Perspective for Orientation Determination in Cryo-EM with Application to Structural Heterogeneity Analysis.

bioRxiv : the preprint server for biology·2025
Same author

The Inaugural Flatiron Institute Cryo-EM Conformational Heterogeneity Challenge.

bioRxiv : the preprint server for biology·2025
Same journal

Microlocal analysis of non-linear operators arising in Compton CT.

Inverse problems·2026
Same journal

A PINN-driven game-theoretic framework in limited data photoacoustic tomography.

Inverse problems·2025
Same journal

An accelerated preconditioned proximal gradient algorithm with a generalized Nesterov momentum for PET image reconstruction.

Inverse problems·2025
Same journal

Method of moments for 3D single particle <i>ab initio</i> modeling with non-uniform distribution of viewing angles.

Inverse problems·2025
Same journal

Linearized boundary control method for density reconstruction in acoustic wave equations.

Inverse problems·2024
Same journal

Optimizing quantitative photoacoustic imaging systems: the Bayesian Cramér-Rao bound approach.

Inverse problems·2024
查看所有相关文章

相关实验视频

Updated: May 25, 2025

Strategies for Optimization of Cryogenic Electron Tomography Data Acquisition
08:16

Strategies for Optimization of Cryogenic Electron Tomography Data Acquisition

Published on: March 19, 2021

4.4K

多目标检测与应用到冷电子显微镜.

Tamir Bendory1, Nicolas Boumal2, William Leeb3

  • 1The Program in Applied and Computational Mathematics, Princeton University, Princeton, NJ, United States of America.

Inverse problems
|February 28, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种用于高噪声环境中的信号估计的新方法,克服了传统检测和集群的局限性. 自相对应分析能够准确地恢复信号,即使单个事件无法检测到.

关键词:
自相关性分析自相关性分析.盲目解卷是一种盲目解卷.冷电子显微镜的使用方法检测 检测 检测 检测 检测

更多相关视频

Cryo-Electron Tomography Remote Data Collection and Subtomogram Averaging
08:55

Cryo-Electron Tomography Remote Data Collection and Subtomogram Averaging

Published on: July 12, 2022

4.7K
User-friendly, High-throughput, and Fully Automated Data Acquisition Software for Single-particle Cryo-electron Microscopy
07:56

User-friendly, High-throughput, and Fully Automated Data Acquisition Software for Single-particle Cryo-electron Microscopy

Published on: July 29, 2021

3.4K

相关实验视频

Last Updated: May 25, 2025

Strategies for Optimization of Cryogenic Electron Tomography Data Acquisition
08:16

Strategies for Optimization of Cryogenic Electron Tomography Data Acquisition

Published on: March 19, 2021

4.4K
Cryo-Electron Tomography Remote Data Collection and Subtomogram Averaging
08:55

Cryo-Electron Tomography Remote Data Collection and Subtomogram Averaging

Published on: July 12, 2022

4.7K
User-friendly, High-throughput, and Fully Automated Data Acquisition Software for Single-particle Cryo-electron Microscopy
07:56

User-friendly, High-throughput, and Fully Automated Data Acquisition Software for Single-particle Cryo-electron Microscopy

Published on: July 29, 2021

3.4K

科学领域:

  • 信号处理 信号处理
  • 统计推理 统计推理
  • 生物物理成像 生物物理成像

背景情况:

  • 在杂的测量中,多目标检测具有挑战性.
  • 传统方法在高噪声状态下失败,原因是检测和聚类不可靠.
  • 估计信号需要强大的方法超出标准检测.

研究的目的:

  • 开发一种在高噪声条件下进行信号估计的方法.
  • 为了克服极端噪音中检测和聚类的局限性.
  • 支持生物宏分子的冷电子显微镜成像框架.

主要方法:

  • 使用自相关性分析来关联观测和信号自相关性.
  • 从任何噪声水平的长时间测量中准确估计自身相关性.
  • 通过非线性最小平方来解决多项式方程来恢复信号.

主要成果:

  • 证明信号估计是可能的,尽管无法检测/集群发生在高噪音.
  • 导出信号和观测自相关性之间的简单关系.
  • 提供了理论和数值证据来证明该方法的有效性.

结论:

  • 自相对应分析为极端噪音中信号恢复提供了一个可行的策略.
  • 拟议的方法有效地估计了传统方法失败的信号.
  • 这项工作为先进的冷电子显微镜技术提供了至关重要的支持.