2024Gonzalez Dashboard

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Revision as of 06:45, 1 August 2024 by WikiSysop (talk | contribs) (Created page with "== Citation == González-Rodriguez, Nayim / Areán-Ulloa, Emma / Fernández-Leiro, Rafael. A web-based dashboard for RELION metadata visualization. 2024. Acta Crystallographica Section D: Structural Biology, Vol. 80, No. 2 == Abstract == 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 imageprocessing work...")
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Citation

González-Rodriguez, Nayim / Areán-Ulloa, Emma / Fernández-Leiro, Rafael. A web-based dashboard for RELION metadata visualization. 2024. Acta Crystallographica Section D: Structural Biology, Vol. 80, No. 2

Abstract

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 imageprocessing 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.

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https://journals.iucr.org/d/issues/2024/02/00/ic5122/

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