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Related Concept Videos

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...
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...

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Related Experiment Video

Updated: Jun 12, 2026

User-friendly, High-throughput, and Fully Automated Data Acquisition Software for Single-particle Cryo-electron Microscopy
07:56

User-friendly, High-throughput, and Fully Automated Data Acquisition Software for Single-particle Cryo-electron Microscopy

Published on: July 29, 2021

Low cost, high performance GPU computing solution for atomic resolution cryoEM single-particle reconstruction.

Xiaokang Zhang1, Xing Zhang, Z Hong Zhou

  • 1Hefei National Laboratory for Physical Sciences at Nanoscale, University of Science and Technology of China, Hefei 230027, China.

Journal of Structural Biology
|May 25, 2010
PubMed
Summary
This summary is machine-generated.

New software, eLite3D, uses graphics hardware to speed up cryo-electron microscopy (cryoEM) 3D reconstructions. This allows atomic resolution imaging on a personal computer in hours, not weeks.

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A Robust Single-Particle Cryo-Electron Microscopy (cryo-EM) Processing Workflow with cryoSPARC, RELION, and Scipion
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A Robust Single-Particle Cryo-Electron Microscopy (cryo-EM) Processing Workflow with cryoSPARC, RELION, and Scipion

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Single-Particle Cryo-EM Data Collection with Stage Tilt using Leginon
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Single-Particle Cryo-EM Data Collection with Stage Tilt using Leginon

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Last Updated: Jun 12, 2026

User-friendly, High-throughput, and Fully Automated Data Acquisition Software for Single-particle Cryo-electron Microscopy
07:56

User-friendly, High-throughput, and Fully Automated Data Acquisition Software for Single-particle Cryo-electron Microscopy

Published on: July 29, 2021

A Robust Single-Particle Cryo-Electron Microscopy (cryo-EM) Processing Workflow with cryoSPARC, RELION, and Scipion
13:43

A Robust Single-Particle Cryo-Electron Microscopy (cryo-EM) Processing Workflow with cryoSPARC, RELION, and Scipion

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Single-Particle Cryo-EM Data Collection with Stage Tilt using Leginon
04:52

Single-Particle Cryo-EM Data Collection with Stage Tilt using Leginon

Published on: July 1, 2022

Area of Science:

  • Structural Biology
  • Computational Biology
  • Microscopy

Background:

  • Cryo-electron microscopy (cryoEM) enables atomic resolution 3D structure determination of macromolecular complexes.
  • High-resolution cryoEM data processing demands significant computational resources, often requiring expensive clusters or lengthy computation times.

Purpose of the Study:

  • To develop a practical and efficient computational solution for atomic resolution cryoEM 3D reconstruction.
  • To leverage commodity graphics hardware for accelerated data processing.

Main Methods:

  • Implementation of a new program, eLite3D, utilizing general-purpose graphics processing units (GPGPU).
  • Development of interleaved schemes to prevent data race conditions during 3D volume merging.
  • Introduction of a processing pipeline strategy to optimize I/O and computation, enhancing CPU and GPGPU parallelism.

Main Results:

  • eLite3D achieves speedups of up to 100 times compared to conventional 3D reconstruction programs.
  • Atomic resolution 3D reconstructions of large macromolecular complexes can be completed on a personal computer within 1-2 hours.
  • The accuracy of reconstructions is maintained.

Conclusions:

  • eLite3D offers a practical solution for atomic resolution cryoEM reconstruction, making advanced structural analysis more accessible.
  • The study provides guidelines for developing GPGPU applications in scientific computing.