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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: Sep 27, 2025

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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An electron counting algorithm improves imaging of proteins with low-acceleration-voltage cryo-electron microscope.

Dongjie Zhu1,2, Huigang Shi2,3, Chunling Wu2,3

  • 1School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, 230026, Hefei, China.

Communications Biology
|April 7, 2022
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Summary

An electron counting algorithm improves signal-to-noise ratio (SNR) in cryo-electron microscopy (cryo-EM) images taken at lower voltages. This advancement enhances resolution for imaging small proteins, potentially matching higher voltage microscopes.

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Strategies for Optimization of Cryogenic Electron Tomography Data Acquisition
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Strategies for Optimization of Cryogenic Electron Tomography Data Acquisition
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Strategies for Optimization of Cryogenic Electron Tomography Data Acquisition

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Area of Science:

  • Structural Biology
  • Microscopy Techniques
  • Biophysics

Background:

  • Lowering accelerating voltage in cryo-electron microscopy (cryo-EM) may enhance signal-to-noise ratio (SNR) for small proteins.
  • Current direct detection devices (DDDs) and temporal coherence limitations reduce SNR at lower voltages.
  • Stronger electron scattering occurs at lower accelerating voltages relative to 300-kV fields.

Purpose of the Study:

  • To develop an electron counting algorithm for improved detection of low-energy electrons in cryo-EM.
  • To enhance the SNR and resolution of cryo-EM images acquired at lower accelerating voltages.
  • To assess the potential of 120-kV cryo-EM for imaging small proteins.

Main Methods:

  • Development and application of an electron counting algorithm.
  • Acquisition of cryo-EM images using a Falcon III camera at 120-kV and 200-kV.
  • Analysis of SNR improvements at half Nyquist and Nyquist frequencies.
  • Evaluation of 3D reconstruction resolution.

Main Results:

  • The electron counting algorithm significantly increased SNR in 120-kV and 200-kV cryo-EM images.
  • SNR gains were 8% and 20% at half Nyquist, and 21% and 80% at Nyquist frequency, respectively.
  • Resolution of 3D reconstructions showed considerable improvement.

Conclusions:

  • The electron counting algorithm effectively improves low-energy electron detection and SNR in cryo-EM.
  • 120-kV cryo-EM shows potential to achieve resolution comparable to 300-kV microscopes for small proteins.
  • Further improvements in temporal coherence and camera design could enhance low-voltage cryo-EM capabilities.