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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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The wavelengths of visible light ultimately limit the maximum theoretical resolution of images created by light microscopes. Most light microscopes can only magnify 1000X, and a few can magnify up to 1500X. Electrons, like electromagnetic radiation, can behave like waves, but with wavelengths of 0.005 nm, they produce significantly greater resolution up to 0.05 nm as compared to 500 nm for visible light. An electron microscope (EM) can create a sharp image that is magnified up to 2,000,000X.
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A scanning electron microscope (SEM) is used to study the surface features of a sample by using an electron beam that scans the sample surface in a two-dimensional manner. Typically, areas between ~1 centimeter to 5 micrometers in width can be imaged. SEM can be used to image bacteria, viruses, tissues as well as larger samples like insects. Conventional SEM gives a magnification ranging from 20X to 30,000X and spatial resolution of 50 to 100 nanometers.
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In 1931, physicist Ernst Ruska—building on the idea that magnetic fields can direct an electron beam just as lenses can direct a beam of light in an optical microscope—developed the first prototype of the electron microscope. This development led to the development of the field of electron microscopy. In the transmission electron microscope (TEM), electrons are produced by a hot tungsten element and accelerated by a potential difference in an electron gun, which gives them up to 400...
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Immunoelectron microscopy utilizes immunogold labeling of endogenous proteins with specific antibodies to detect and localize these proteins in cells and tissues. The procedure provides insights into the distribution and quantification of protein under different stimulation conditions offering clues about their functions. Conjugating highly electron-dense gold particles with primary or secondary antibodies allow antigen detection on and within cells, with high resolution and specificity.
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Related Experiment Video

Updated: Feb 8, 2026

Micropatterning Transmission Electron Microscopy Grids to Direct Cell Positioning within Whole-Cell Cryo-Electron Tomography Workflows
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Applying a Modified Wavelet Shrinkage Filter to Improve Cryo-Electron Microscopy Imaging.

Xinrui Huang1, Sha Li2, Song Gao2

  • 11 Department of Biophysics, School of Basic Medical Sciences, Peking University , Beijing, China .

Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|June 22, 2018
PubMed
Summary

A modified wavelet shrinkage filter enhances cryo-electron microscopy (Cryo-EM) imaging by reducing noise while preserving image resolution and contrast. This improves 3D reconstruction and structural analysis in molecular biology.

Keywords:
cryo-electron microscopycryo-electron tomographydenoising techniquessingle-particle analysiswavelet shrinkage filter

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High-resolution Single Particle Analysis from Electron Cryo-microscopy Images Using SPHIRE
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High-resolution Single Particle Analysis from Electron Cryo-microscopy Images Using SPHIRE

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Last Updated: Feb 8, 2026

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High-resolution Single Particle Analysis from Electron Cryo-microscopy Images Using SPHIRE
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High-resolution Single Particle Analysis from Electron Cryo-microscopy Images Using SPHIRE

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Area of Science:

  • Structural Biology
  • Biophysics
  • Imaging Science

Background:

  • Cryo-electron microscopy (Cryo-EM) is crucial for visualizing large macromolecular and cellular structures.
  • Low electron dose imaging in Cryo-EM leads to noise, reduced contrast, and challenges for conventional filters.
  • Accurate structural determination relies on high-quality Cryo-EM data.

Purpose of the Study:

  • To develop and apply a modified wavelet shrinkage filter for Cryo-EM image denoising.
  • To evaluate the filter's performance in single-particle analysis and cryo-electron tomography.
  • To improve the quality of Cryo-EM data for better structural analysis.

Main Methods:

  • Exploration of a modified wavelet shrinkage filter with optimized parameters (three-level decomposition, subband-dependent threshold, soft thresholding, spline-based discrete dyadic wavelet transform).
  • Application of the filter to both simulated and real Cryo-EM datasets.
  • Comparison with conventional denoising methods (Gaussian, median, bilateral filters).

Main Results:

  • The modified wavelet shrinkage filter effectively reduced noise in Cryo-EM images.
  • Image resolution and contrast were maintained, unlike with conventional filters.
  • Enhanced image quality facilitated more accurate structural measurements and interpretation.

Conclusions:

  • The optimized wavelet shrinkage filter offers significant advantages for Cryo-EM data processing.
  • It improves 3D reconstruction, visualization, and structural analysis in life sciences.
  • The developed methods and data are publicly available for broader application.