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Related Experiment Video

Updated: Feb 10, 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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Routine single particle CryoEM sample and grid characterization by tomography.

Alex J Noble1, Venkata P Dandey1, Hui Wei1

  • 1National Resource for Automated Molecular Microscopy, Simons Electron Microscopy Center, New York Structural Biology Center, New York, United States.

Elife
|May 30, 2018
PubMed
Summary
This summary is machine-generated.

Most proteins in cryo-electron microscopy (cryoEM) adsorb to air-water interfaces, challenging standard assumptions. This study reveals this widespread phenomenon, impacting protein structure analysis and cryoEM methods.

Keywords:
air-watercryoETfiducial-lessmolecular biophysicsnoneprotomosingle particlestructural biologytomography

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Area of Science:

  • Structural Biology
  • Biophysics
  • Microscopy Techniques

Background:

  • Single particle cryo-electron microscopy (cryoEM) relies on particles being suspended in vitreous ice.
  • The air-water interface is often assumed to be free of adsorbed particles.

Purpose of the Study:

  • To investigate particle distribution within ice in cryoEM grids.
  • To assess the prevalence of particle adsorption to air-water interfaces.
  • To explore the implications of interface adsorption on cryoEM data.

Main Methods:

  • Fiducial-less cryo-electron tomography was applied to over 50 cryoEM grid preparations.
  • Analysis of over 1000 tomograms to determine particle distribution and ice geometry.
  • 3D reconstruction of particle locations within ice holes.

Main Results:

  • Approximately 90% of particles were found to be adsorbed to air-water interfaces.
  • Significant implications for protein denaturation, conformational changes, and preferred orientation.
  • Demonstrated utility of fiducial-less cryo-EM tomography for assessing ice properties and particle behavior.

Conclusions:

  • Particle adsorption to air-water interfaces is a dominant factor in cryoEM sample preparation.
  • This finding necessitates re-evaluation of cryoEM data interpretation and sample preparation strategies.
  • Fiducial-less cryo-electron tomography offers valuable insights into ice structure and particle distribution for optimizing cryoEM workflows.