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Cryo-electron Microscopy

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 Reconstruction

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: Mar 12, 2026

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

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

Published on: January 31, 2022

Accelerated cryo-EM structure determination with parallelisation using GPUs in RELION-2.

Dari Kimanius¹, Björn O Forsberg¹, Sjors Hw Scheres²

¹Department of Biochemistry and Biophysics, Science for Life Laboratory, Stockholm University, Stockholm, Sweden.

|November 16, 2016

Summary

This summary is machine-generated.

Single-particle cryo-electron microscopy (cryo-EM) structure determination is now faster. New software using graphics processors (GPUs) significantly speeds up computations, enabling high-resolution results on a single workstation.

Keywords:

GPU biophysics classification cryo-EM image reconstruction micrograph none refinement structural biology

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Last Updated: Mar 12, 2026

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

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Area of Science:

Structural Biology
Biophysics
Computational Biology

Background:

Single-particle cryo-electron microscopy (cryo-EM) is revolutionizing structural biology by achieving near-atomic resolution.
High computational costs in cryo-EM data processing create bottlenecks, limiting throughput and method development.

Purpose of the Study:

To accelerate computationally intensive steps in cryo-EM structure determination using graphics processors (GPUs).
To optimize the RELION software for efficient GPU utilization on widely available hardware.

Main Methods:

Implementation of GPU acceleration within the RELION image processing software.
Optimization of memory requirements for GPU compatibility.
Utilizing single-precision arithmetic without compromising structural accuracy.

Main Results:

Significant acceleration of image classification and high-resolution refinement (over 10x).
Dramatic acceleration of template-based particle selection (over 100x) on desktop hardware.
Demonstrated feasibility of high-resolution cryo-EM structure determination within days on a single workstation.

Conclusions:

GPU-accelerated RELION effectively overcomes computational bottlenecks in cryo-EM.
This advancement democratizes high-resolution cryo-EM structure determination, making it accessible on standard workstations.
The optimized workflow facilitates faster research and development in structural biology.