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Related Concept Videos

Cryo-electron Microscopy01:28

Cryo-electron Microscopy

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...
Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

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: Jun 1, 2026

Visualization of DNA Compaction in Cyanobacteria by High-voltage Cryo-electron Tomography
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Visualization of DNA Compaction in Cyanobacteria by High-voltage Cryo-electron Tomography

Published on: July 17, 2018

CRYO-ELECTRON MICROSCOPY DATA DENOISING BASED ON THE GENERALIZED DIGITIZED TOTAL VARIATION METHOD.

Qin Zhang1, Chandrajit L Bajaj

  • 1Institute for Computational Engineering and Sciences, University of Texas, Austin, TX 78712, U. S. A.

Far East Journal of Applied Mathematics
|June 7, 2011
PubMed
Summary
This summary is machine-generated.

A new generalized digitized total variation (GDTV) method enhances 3D image processing for cryo-electron microscopy (cryo EM). This noise reduction technique improves data quality for structural analysis of macromolecular assemblies.

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Routine Collection of High-Resolution cryo-EM Datasets Using 200 KV Transmission Electron Microscope
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Published on: March 16, 2022

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Last Updated: Jun 1, 2026

Visualization of DNA Compaction in Cyanobacteria by High-voltage Cryo-electron Tomography
09:47

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Published on: July 17, 2018

Routine Collection of High-Resolution cryo-EM Datasets Using 200 KV Transmission Electron Microscope
09:49

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

Published on: March 16, 2022

Area of Science:

  • Image Processing
  • Computational Biology
  • Structural Biology

Background:

  • Cryo-electron microscopy (cryo EM) generates 3D structural data crucial for studying macromolecular assemblies.
  • Low-dose electron radiation in cryo EM leads to significant noise and degradation in 3D datasets.
  • Effective image enhancement and noise reduction are essential for downstream analysis like segmentation and structure skeletonization.

Purpose of the Study:

  • To generalize the digitized total variation (GDTV) method for 3D image processing.
  • To address noise and degradation issues in 3D cryo EM data.
  • To evaluate the performance of the GDTV method in improving image quality for structural biology.

Main Methods:

  • Expansion of the energy functional in the digitized total variation method to a general form.
  • Development of the generalized digitized total variation (GDTV) denoising method.
  • Application of the GDTV method to 3-dimensional (3D) image processing, specifically for cryo EM data.

Main Results:

  • The generalized digitized total variation (GDTV) method was successfully developed and applied to 3D image processing.
  • GDTV demonstrated high efficiency in noise reduction and image enhancement for cryo EM data.
  • Comparative experiments confirmed the superior performance of the GDTV method over existing techniques.

Conclusions:

  • The generalized digitized total variation (GDTV) method offers a significant advancement in processing noisy 3D cryo EM data.
  • GDTV effectively improves image quality, facilitating more accurate segmentation and structure determination of macromolecular assemblies.
  • This method is a valuable tool for enhancing structural biology research utilizing cryo electron microscopy.