González-Rodríguez NayimAreán-Ulloa EmmaFernández-Leiro Rafael2024-10-072024-10-072024-02-012059-7983https://hdl.handle.net/20.500.12105/23563Cryo-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.engcryo-electron microscopyrelionice thickness estimationgraphical user interfaceweb-based cryo-EM toolsresearch article3826587410.1107/S2059798323010902open access