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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: Jul 3, 2026

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

Published on: January 31, 2022

High performance computing in structural determination by electron cryomicroscopy.

J J Fernández1

  • 1Department of Computer Architecture, University of Almeria, Almeria 04120, Spain. jjfdez@ual.es

Journal of Structural Biology
|August 5, 2008
PubMed
Summary

High-performance computing (HPC) is crucial for advancing electron cryomicroscopy (cryoEM) in structural biology. This review examines HPC strategies for cryoEM tasks and discusses future trends and available software capabilities.

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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

Related Experiment Videos

Last Updated: Jul 3, 2026

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

Published on: January 31, 2022

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

Area of Science:

  • Structural Biology
  • Computational Biology
  • Microscopy

Background:

  • Electron cryomicroscopy (cryoEM) has become a vital tool in structural biology, largely due to computational progress.
  • Increasingly complex algorithms and vast datasets required for higher resolution demand significant computational power.
  • High-performance computing (HPC) is essential to meet these growing computational demands in cryoEM.

Purpose of the Study:

  • To retrospectively review High-Performance Computing (HPC) approaches for computation-intensive tasks in cryoEM, specifically single particle analysis and tomography.
  • To discuss future trends in HPC for cryoEM.
  • To survey the HPC capabilities integrated into common cryoEM software packages.

Main Methods:

  • Retrospective review of scientific literature concerning HPC strategies in cryoEM.
  • Analysis of computational requirements for single particle and tomography datasets.
  • Survey of HPC features in prevalent cryoEM software.

Main Results:

  • Various HPC strategies have been developed for cryoEM since the 1990s, with some integrated into existing software.
  • The literature on HPC in cryoEM is currently dispersed across computer science and structural biology fields.
  • HPC is demonstrably important for addressing current and future challenges in cryoEM data processing.

Conclusions:

  • HPC is indispensable for the continued advancement of cryoEM resolution and application scope.
  • A consolidated understanding and future development of HPC strategies are needed to support the evolving needs of cryoEM.
  • The integration of HPC into cryoEM software highlights its critical role in overcoming computational bottlenecks.