bioRxivBiophysics
Using Relion software within Scipion framework
G. Sharov, D. R. Morado, M. Carroni, J. M. de la Rosa-Trevin
Abstract
Scipion is a modular image processing framework integrating several software packages under a unified interface while taking care of file formats and conversions. Here new developments and capabilities of the Scipion plugin for the Relion software are presented and illustrated with the image processing pipeline of published data. The user interfaces of Scipion and Relion are compared and the key differences highlighted, allowing this manuscript to be used as a guide for both new and experienced users of these software. Different streaming image processing options are also discussed demonstrating the flexibility of the Scipion framework. SynopsisAn overview of the Scipion plugin for the Relion software is presented and various capabilities of image processing within Scipion framework are discussed.
- assay: imaging
- research focus: benchmarking
- research focus: software / tool
- approach: experimental assay
- approach: microscopy & imaging analysis
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- A pipeline approach to single-particle processing in RELION
Rafael Fernandez-Leiro, Sjors Scheres·Acta Crystallographica Section D Structural BiologyPeer-reviewed·Apr 20, 2017
- Labkit: Labeling and Segmentation Toolkit for Big Image Data
Matthias Arzt, J.R. Deschamps, … Florian Jug·Frontiers in Computer SciencePeer-reviewed·Feb 10, 2022
- Porcupine: a visual pipeline tool for neuroimaging analysis
Tim van Mourik, Lukas Snoek, … David Gordon Norris·PLoS Computational BiologyPeer-reviewed·May 10, 2018
- ModularImageAnalysis (MIA): Assembly of modularised image and object analysis workflows in ImageJ
Stephen Cross, Jordan D. J. R. Fisher, Mark A. Jepson·Journal of MicroscopyPeer-reviewed·Sep 11, 2023
- A scalable, reproducible and open-source pipeline for morphologically profiling image cytometry data
Maxim Lippeveld, Daniel Peralta, … Yvan Saeys·bioRxiv·Oct 24, 2022
- CLIJ: GPU-accelerated image processing for everyone
Robert Haase, Löıc A. Royer, … Eugene Wimberly Myers·Nature MethodsPeer-reviewed·Nov 18, 2019