Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

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

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same authorSame journal

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

Smooth optimization using global and local low-rank regularizers.

SIAM journal on imaging sciences·2026
Same journal

A Common Lines Approach for Ab Initio Modeling of Molecules with Tetrahedral and Octahedral Symmetry.

SIAM journal on imaging sciences·2025
Same journal

A Wasserstein-Type Distance for Gaussian Mixtures on Vector Bundles with Applications to Shape Analysis.

SIAM journal on imaging sciences·2025
Same journal

On Learned Operator Correction in Inverse Problems.

SIAM journal on imaging sciences·2025
Same journal

Toward Single Particle Reconstruction without Particle Picking: Breaking the Detection Limit.

SIAM journal on imaging sciences·2024
See all related articles

Related Experiment Video

Updated: May 4, 2026

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

4.3K

Viewing Direction Estimation in Cryo-EM Using Synchronization.

Yoel Shkolnisky1, Amit Singer2

  • 1Department of Applied Mathematics, School of Mathematical Sciences, Tel Aviv University, Tel Aviv 69978, Israel ( yoelsh@post.tau.ac.il ).

SIAM Journal on Imaging Sciences
|December 24, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces a novel algorithm for determining the viewing directions of cryo-electron microscopy (cryo-EM) images simultaneously. The method robustly reconstructs macromolecular structures from noisy 2D projections by solving a synchronization problem.

Keywords:
angular reconstitutioncryo-electron microscopysynchronizationtomography

More Related Videos

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

2.3K
Cryo-Structured Illumination Microscopic Data Collection from Cryogenically Preserved Cells
11:55

Cryo-Structured Illumination Microscopic Data Collection from Cryogenically Preserved Cells

Published on: May 28, 2021

5.5K

Related Experiment Videos

Last Updated: May 4, 2026

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

4.3K
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

2.3K
Cryo-Structured Illumination Microscopic Data Collection from Cryogenically Preserved Cells
11:55

Cryo-Structured Illumination Microscopic Data Collection from Cryogenically Preserved Cells

Published on: May 28, 2021

5.5K

Area of Science:

  • Structural biology
  • Biophysics
  • Computational imaging

Background:

  • Cryo-electron microscopy (cryo-EM) is crucial for determining macromolecular structures.
  • Reconstructing 3D models requires accurate determination of viewing directions for 2D projection images.
  • Cryo-EM images are often small, noisy, and their viewing directions are unknown.

Purpose of the Study:

  • To develop a robust algorithm for simultaneously determining the viewing directions of all cryo-EM images.
  • To enable accurate 3D model reconstruction from noisy cryo-EM data.
  • To overcome challenges posed by high noise levels in cryo-EM images.

Main Methods:

  • Formulating the problem as a synchronization task to estimate relative spatial configurations of image pairs.
  • Extracting spatial relation information from common lines between triplets of images.
  • Constructing a matrix encoding pairwise relations and analyzing its eigenspace to determine orientations.

Main Results:

  • The algorithm successfully determines viewing directions for all cryo-EM images concurrently.
  • The method demonstrates robustness against high levels of noise in the projection images.
  • The analysis of the matrix's eigenspace reveals the projection orientation of each image, with nontrivial eigenvectors encoding rotation matrices.

Conclusions:

  • The proposed synchronization-based algorithm provides an effective solution for determining cryo-EM image orientations.
  • This approach enhances the accuracy and reliability of 3D macromolecular structure reconstruction from cryo-EM data.
  • The method's robustness to noise makes it a valuable tool for analyzing challenging cryo-EM datasets.