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Related Concept Videos

Cryo-electron Microscopy01:28

Cryo-electron Microscopy

3.9K
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...
3.9K

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Related Experiment Video

Updated: Nov 23, 2025

Author Spotlight: Exploring Cellular Processes by Modeling Ligands in Cryo-EM Maps
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FSC-Q: a CryoEM map-to-atomic model quality validation based on the local Fourier shell correlation.

Erney Ramírez-Aportela1, David Maluenda2, Yunior C Fonseca2

  • 1Biocomputing Unit, National Center for Biotechnology (CSIC), Darwin 3, Campus Univ. Autónoma de Madrid, Cantoblanco, 28049, Madrid, Spain. erney.ramirez@gmail.com.

Nature Communications
|January 5, 2021
PubMed
Summary

A new method, FSC-Q, locally assesses cryo-electron microscopy (cryoEM) map-to-model fit by comparing resolution maps. This quantitative measure helps validate atomic models and detect overfitting in structural biology.

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

  • Structural Biology
  • Biophysics
  • Computational Biology

Background:

  • Advances in cryo-electron microscopy (cryoEM) have led to a surge in solved atomic models.
  • The quality of cryoEM maps is known to vary locally, necessitating local evaluation of derived structural models.

Purpose of the Study:

  • To present a novel method for the local analysis of map-to-model fit in cryoEM.
  • To introduce a quantitative measure, FSC-Q, for assessing how well atomic models are supported by cryoEM map signal.

Main Methods:

  • Developed an algorithm that compares two local resolution maps.
  • The first local resolution map is the Fourier shell correlation (FSC) between the full cryoEM map and the atomic model.
  • The second local resolution map is calculated between the half maps used in single particle analysis.

Main Results:

  • Introduced FSC-Q as a quantitative estimation of model support by map signal content.
  • Demonstrated that FSC-Q can effectively detect overfitting in cryoEM structural models.
  • Showcased FSC-Q as a valuable complement to existing methods like the Q-score for atomic resolvability assessment.

Conclusions:

  • FSC-Q provides a robust method for local evaluation of cryoEM map-to-model fit.
  • This quantitative measure aids in validating structural models and identifying potential overfitting issues.
  • FSC-Q enhances the reliability of atomic models derived from cryoEM data.