CryoFLARE
CryoFLARE performs live analysis and processing of single-particle cryo-electron microscopy (cryo-EM) data to support reproducible structure determination.
Key Features:
- Modular architecture: Modular, open-source architecture enables incorporation of novel processing algorithms from the cryo-EM community.
- Integrated reporting: Integrated reporting facility documents data processing steps for accountability and reproducibility.
- Live analysis and processing: Real-time analysis runs in parallel with data acquisition to monitor data quality and identify issues such as heterogeneity and ice thickness.
- Interfacing with automated data collection: Interfaces with acquisition software including EPU and SerialEM to retrieve acquisition metadata.
- Relion-compatible export: Supports local and remote export in Relion-compatible formats for downstream refinement.
- Nonlinear workflows and fine-grained scheduling: Supports nonlinear workflows with fine-grained scheduling for mixed CPU and GPU-based calculation steps.
- Support for varied image acquisition regimes: Handles workflows ranging from sample screening to high-resolution data collection without requiring changes to microscope hardware or acquisition software.
Scientific Applications:
- High-throughput cryo-EM data analysis: Enables continuous monitoring and processing for large-scale single-particle cryo-EM projects.
- Structural biology: Facilitates reproducible determination of macromolecular structures from cryo-EM data.
- Drug discovery: Supports workflows that feed processed cryo-EM data into downstream refinement and structure-guided studies.
- Virology: Applies to structural studies of viral particles and complexes using single-particle cryo-EM.
Methodology:
Retrieval of acquisition metadata from EPU or SerialEM; real-time analysis parallel to acquisition; modular integration of third-party processing algorithms; nonlinear workflow execution with fine-grained CPU/GPU scheduling; export in Relion-compatible formats; integrated reporting of processing steps.
Topics
Details
- Programming Languages:
- Shell, C++
- Added:
- 1/14/2020
- Last Updated:
- 12/17/2020
Operations
Publications
Schenk AD, Cavadini S, Thomä NH, Genoud C. Live analysis and reconstruction of single-particle cryo-electron microscopy data with CryoFLARE. Unknown Journal. 2019. doi:10.1101/861740.
Schenk AD, Cavadini S, Thomä NH, Genoud C. Live Analysis and Reconstruction of Single-Particle Cryo-Electron Microscopy Data with CryoFLARE. Journal of Chemical Information and Modeling. 2020;60(5):2561-2569. doi:10.1021/acs.jcim.9b01102. PMID:32233514.