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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...

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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.
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Related Experiment Video

Updated: Jun 24, 2026

Strategies for Optimization of Cryogenic Electron Tomography Data Acquisition

Strategies for Optimization of Cryogenic Electron Tomography Data Acquisition

Published on: March 19, 2021

Hybrid approaches: applying computational methods in cryo-electron microscopy.

Steffen Lindert¹, Phoebe L Stewart, Jens Meiler

¹Department of Chemistry, Vanderbilt University, Nashville, TN 37212, USA.

Current Opinion in Structural Biology

|April 3, 2009

Summary

This summary is machine-generated.

Advances in cryo-electron microscopy yield detailed protein structure maps. Computational methods combined with these maps are crucial for accurate protein structure determination.

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Published on: January 31, 2022

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Last Updated: Jun 24, 2026

Strategies for Optimization of Cryogenic Electron Tomography Data Acquisition

Strategies for Optimization of Cryogenic Electron Tomography Data Acquisition

Published on: March 19, 2021

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

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

Published on: January 31, 2022

Area of Science:

Structural Biology
Biophysics
Computational Biology

Background:

Cryo-electron microscopy (cryoEM) now produces high-resolution (3-5Å) and medium-resolution (5-10Å) density maps.
These maps offer significant insights into protein structures.

Purpose of the Study:

To highlight the necessity of computational algorithms for interpreting cryoEM density maps.
To emphasize the future role of hybrid approaches in protein structure elucidation.

Main Methods:

Integration of cryoEM data with computational protein structure prediction algorithms.
Utilizing advanced algorithms for the interpretation of cryoEM density maps.

Main Results:

CryoEM density maps provide rich structural information.
Computational interpretation is frequently required for these maps.

Conclusions:

Hybrid approaches combining cryoEM and computational methods are essential for advancing protein structure elucidation.
The synergy between experimental cryoEM data and computational prediction will define future structural biology research.