vix.ing · top · new · best · stats · spec

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

2025/08/21 by Behdad Khoshbin, Puneeth Damodar, Rupali R. Garje +7 · 1 voice · 1 citation
Biochemistry, Genetics and Molecular Biology · Materials Science · #Advanced Electron Microscopy Techniques and Applications #Quantum Dots Synthesis And Properties

paper · pdf · doi:10.1107/s2052252525007432

openalex publication_date 2025/08/21 · openalex created_date 2025/09/06 · openalex updated_date 2026/08/01

Abstract

Single-particle cryo-electron microscopy (cryo-EM) has revolutionized structural biology by enabling high-resolution determination of macromolecular structures. However, the field faces challenges in data management, processing workflow integration and software extensibility. We present Magellon, an innovative cryo-EM software platform that addresses these challenges through a modern microservices architecture. Magellon consists of an extensible backend with a web based frontend that we call Magellon Viewer. Together, these combine high-performance computing capabilities with an intuitive user interface, enabling researchers to efficiently process and analyze cryo-EM data. The platform's distinguishing features include a plugin based architecture, distributed processing capabilities, comprehensive monitoring systems, and a novel approach to data organization and visualization. A key philosophy of the approach is that the Magellon backend provides a platform that uses robust industry-standard libraries to orchestrate computational tasks while offering users and developers flexibility in selecting the computational resources for performing calculations. Magellon represents a significant advancement in cryo-EM software infrastructure, offering flexibility, scalability and extensibility while maintaining ease of use.

Cited by

Discussions

Related