2025Khoshbin Magellon

Citation

Khoshbin, B., Damodar, P., Garje, R.R., Schotanus, F.H., Nair, N., Wei, L., Schaefer, J.-H., Lander, G.C., Cianfrocco, M.A. and Stagg, S.M. 2025. Magellon-an extensible platform for cryo-EM data visualization, management, and processing. IUCrJ. 12, (2025), eh5023.

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.

Links

https://journals.iucr.org/m/issues/2025/06/00/eh5023/index.html