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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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Related Experiment Video

Updated: May 12, 2026

Cryo-EM and Single-Particle Analysis with Scipion

Cryo-EM and Single-Particle Analysis with Scipion

Published on: May 29, 2021

Cryo-EM model validation using independent map reconstructions.

Frank DiMaio¹, Junjie Zhang, Wah Chiu

¹Department of Biochemistry, University of Washington, Seattle, Washington 98195, USA.

Protein Science : a Publication of the Protein Society

|April 18, 2013

Summary

This summary is machine-generated.

A new metric validates atomic models built from cryo-electron microscopy (cryo-EM) density maps. This method ensures accurate model fitting to experimental data, improving protein structure determination.

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Last Updated: May 12, 2026

Cryo-EM and Single-Particle Analysis with Scipion

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Published on: May 29, 2021

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

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Published on: January 31, 2022

Area of Science:

Structural Biology
Biophysics
Computational Biology

Background:

Cryo-electron microscopy (cryo-EM) is increasingly producing high-resolution density maps.
Accurate atomic models are crucial for interpreting these cryo-EM maps.
Independent validation metrics are needed to assess model quality.

Purpose of the Study:

To develop and describe a novel metric for validating atomic models derived from cryo-EM data.
To provide a tool for assessing the fit of atomic models to experimental cryo-EM maps.

Main Methods:

The study introduces a validation metric based on comparing atomic models to independent cryo-EM test maps.
These test maps are derived from single particle reconstructions not involved in model refinement.

Main Results:

The developed metric effectively assesses the fit of atomic models to cryo-EM density maps.
It aids in balancing model-data fit with physical and chemical realism during refinement.

Conclusions:

This new metric offers a reliable method for validating atomic models in cryo-EM.
It is valuable for optimizing model building and refinement processes and metaparameters.