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A web-based dashboard for RELION metadata visualization.

Nayim González-RodríguezEmma Areán-UlloaRafael Fernandez-Leiro
Published in: Acta crystallographica. Section D, Structural biology (2024)
Cryo-electron microscopy (cryo-EM) has witnessed radical progress in the past decade, driven by developments in hardware and software. While current software packages include processing pipelines that simplify the image-processing workflow, they do not prioritize the in-depth analysis of crucial metadata, limiting troubleshooting for challenging data sets. The widely used RELION software package lacks a graphical native representation of the underlying metadata. Here, two web-based tools are introduced: relion_live.py, which offers real-time feedback on data collection, aiding swift decision-making during data acquisition, and relion_analyse.py, a graphical interface to represent RELION projects by plotting essential metadata including interactive data filtration and analysis. A useful script for estimating ice thickness and data quality during movie pre-processing is also presented. These tools empower researchers to analyse data efficiently and allow informed decisions during data collection and processing.
Keyphrases
  • electronic health record
  • big data
  • electron microscopy
  • machine learning
  • optical coherence tomography
  • quality improvement