WikiSysop: 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..."

2024-08-01T06:45:05Z

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.

== Keywords ==

== Links ==

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

== Related software ==

== Related methods ==

== Comments ==

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