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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...

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Related Experiment Video

Updated: Sep 15, 2025

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

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

Published on: March 16, 2022

Magellon - an extensible platform for cryo-EM data visualization, management, and processing.

Behdad Khoshbin¹, Puneeth Damodar¹, Rupali R Garje²

¹Institute of Molecular Biophysics, Florida State University; Tallahassee, FL, USA.

Biorxiv : the Preprint Server for Biology

|July 15, 2025

Summary

This summary is machine-generated.

Magellon is a new software platform for single particle cryo-electron microscopy (cryo-EM) that streamlines data processing and analysis. It offers an extensible microservices architecture for efficient macromolecular structure determination.

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gP2S, an Information Management System for CryoEM Experiments

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Last Updated: Sep 15, 2025

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

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Published on: March 16, 2022

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

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gP2S, an Information Management System for CryoEM Experiments

gP2S, an Information Management System for CryoEM Experiments

Published on: June 10, 2021

Area of Science:

Structural Biology
Biophysics
Computational Biology

Background:

Single particle cryo-electron microscopy (cryo-EM) is a powerful technique for determining high-resolution macromolecular structures.
Current cryo-EM workflows face challenges in data management, processing integration, and software extensibility.

Purpose of the Study:

To introduce Magellon, an innovative software platform designed to address the limitations of current cryo-EM data processing.
To provide a flexible, scalable, and user-friendly solution for researchers in structural biology.

Main Methods:

Development of Magellon, a cryo-EM software platform utilizing a microservices architecture.
Integration of an extensible backend with a web-based front end (Magellon Viewer).
Implementation of a plugin-based architecture, distributed processing, and comprehensive monitoring systems.

Main Results:

Magellon offers a unified platform for efficient cryo-EM data processing and analysis.
The platform combines high-performance computing with an intuitive user interface.
Features include flexibility in computational resource selection and novel data organization/visualization.

Conclusions:

Magellon represents a significant advancement in cryo-EM software infrastructure.
The platform enhances flexibility, scalability, and extensibility while maintaining ease of use for researchers.
It facilitates efficient processing and analysis of cryo-EM data for macromolecular structure determination.