Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

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...

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

Clinical Benefit and Risk Profile of TV-46000 for Patients with Schizophrenia as Assessed by Number Needed to Treat and Number Needed to Harm.

Neuropsychiatric disease and treatment·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

Safety, Tolerability, and Pharmacokinetics of Subcutaneous Extended-Release Injectable Olanzapine in Patients with Schizophrenia and Schizoaffective Disorder.

Clinical drug investigation·2026

Search research articles

Related Experiment Video

Updated: Oct 4, 2025

Strategies for Optimization of Cryogenic Electron Tomography Data Acquisition

Strategies for Optimization of Cryogenic Electron Tomography Data Acquisition

Published on: March 19, 2021

Centering Noisy Images with Application to Cryo-EM.

Ayelet Heimowitz¹, Nir Sharon², Amit Singer³

¹Department of Electrical and Electronics Engineering, Ariel University, Ariel, Israel.

SIAM Journal on Imaging Sciences

|February 7, 2022

Summary

This study introduces a new method for accurately estimating the center of mass in noisy images. The novel approach improves object centering, especially in single-particle cryo-electron microscopy (cryo-EM) image analysis.

Keywords:

alignment center of mass centering cryo-electron microscopy median of mass particle picking

More Related Videos

Single Particle Cryo-Electron Microscopy: From Sample to Structure

Single Particle Cryo-Electron Microscopy: From Sample to Structure

Published on: May 29, 2021

Routine Collection of High-Resolution cryo-EM Datasets Using 200 KV Transmission Electron Microscope

Routine Collection of High-Resolution cryo-EM Datasets Using 200 KV Transmission Electron Microscope

Published on: March 16, 2022

Related Experiment Videos

Last Updated: Oct 4, 2025

Strategies for Optimization of Cryogenic Electron Tomography Data Acquisition

Strategies for Optimization of Cryogenic Electron Tomography Data Acquisition

Published on: March 19, 2021

Single Particle Cryo-Electron Microscopy: From Sample to Structure

Single Particle Cryo-Electron Microscopy: From Sample to Structure

Published on: May 29, 2021

Routine Collection of High-Resolution cryo-EM Datasets Using 200 KV Transmission Electron Microscope

Routine Collection of High-Resolution cryo-EM Datasets Using 200 KV Transmission Electron Microscope

Published on: March 16, 2022

Area of Science:

Image analysis
Computational biology
Biophysics

Background:

Estimating the center of mass in noisy 2D images is challenging.
Standard methods like direct computation and geometric median are vulnerable to noise.
Accurate centering is crucial for downstream analysis, particularly in cryo-electron microscopy (cryo-EM).

Purpose of the Study:

To develop a novel, noise-robust method for estimating the center of mass in 2D images.
To provide a mathematical and numerical analysis of the proposed surrogate function.
To demonstrate the method's effectiveness in single-particle cryo-electron microscopy (cryo-EM) for improved translational alignment.

Main Methods:

Definition of a novel surrogate function for the center of mass.
Mathematical and numerical analysis of the proposed function's properties.
Application of the centering method to single-particle cryo-electron microscopy (cryo-EM) data.

Main Results:

The novel method outperforms existing techniques for center of mass estimation in noisy images.
The approach demonstrates superior performance in realistic scenarios.
Improved translational alignment of molecule images in cryo-EM data was achieved.

Conclusions:

The developed centering method offers a robust solution for noisy image analysis.
It significantly enhances the translational alignment of images in cryo-EM.
This facilitates reconstruction, streamlines the cryo-EM pipeline, saves computational time, and supports resolution enhancement.