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Related Concept Videos

Cryo-electron Microscopy01:28

Cryo-electron Microscopy

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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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Electron Microscope Tomography and Single-particle Reconstruction01:07

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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.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...
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Related Experiment Video

Updated: Mar 14, 2026

Single Particle Cryo-Electron Microscopy: From Sample to Structure
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Single Particle Cryo-Electron Microscopy: From Sample to Structure

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Automated structure refinement of macromolecular assemblies from cryo-EM maps using Rosetta.

Ray Yu-Ruei Wang1,2, Yifan Song2, Benjamin A Barad3,4

  • 1Graduate Program in Biological Physics, Structure and Design, University of Washington, Seattle, United States.

Elife
|September 27, 2016
PubMed
Summary

This study introduces an automated method to refine atomic details in cryo-electron microscopy (cryo-EM) models. The technique improves model geometry and accuracy in near-atomic resolution maps, streamlining structure determination.

Keywords:
Rosettaatomic modelsbiophysicscomputational biologycryo-EMmacromolecular assembliesmembrane proteinsnonestructural biologystructure refinementsystems biology

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Area of Science:

  • Structural Biology
  • Biophysics
  • Computational Biology

Background:

  • Cryo-electron microscopy (cryo-EM) provides near-atomic resolution (3-4.5Å) of macromolecular assemblies.
  • Accurate atomic positioning in cryo-EM maps is challenging, making manual refinement of large models tedious and error-prone.

Purpose of the Study:

  • To develop an automated method for improving atomic details in manually built models from near-atomic resolution cryo-EM maps.
  • To enhance the accuracy and efficiency of cryo-EM structure determination.

Main Methods:

  • Development and application of an automated refinement method for cryo-EM models.
  • Testing the method on three diverse biological systems solved by cryo-EM.

Main Results:

  • The automated method successfully improved model geometry while preserving fit-to-density.
  • Automatic detection and correction of backbone placement errors were achieved.
  • The refinement demonstrated a large radius of convergence.

Conclusions:

  • The method is effective for various structures, including those with symmetry, large size, RNA, or covalently bound ligands.
  • This automation streamlines the cryo-EM structure determination process.
  • It provides accurate and unbiased atomic structure interpretation of cryo-EM maps.