EP64 (EU/Asia Session): Analyzing Xenium Data on SpatialX

Xenium enables subcellular-level spatial profiling, opening new doors for biological discovery. However, the volume and complexity of Xenium data often make analysis and visualization a major challenge. In this upcoming CSE Club session, we’ll showcase how SpatialX simplifies Xenium data analysis end to end — helping researchers move efficiently from raw data to robust, publication-ready insights. 🗓️ Friday, January 30, 2026 ⏰ 9 AM CET | 3 PM ICT | 5 PM JST 🔗 Register: https://us02web.zoom.us/webinar/register/8817502398032/WN_RX5zGYhkSz-thhP0v3pkuQ#/registration Topics we’ll explore: 🔹 Unified Data Integration — Joint analysis of Xenium transcriptomics and proteomics across multiple slides within a single framework. 🔹 Advanced Spatial Data Analysis — Performing neighborhood analysis, spatial distance measurements, and cell–cell interaction studies. 🔹 Tissue Morphology & ROI — Incorporating H&E images for precise segmentation and region annotation. This session is ideal for anyone looking to reduce analytical friction and unlock the full potential of Xenium data using an intuitive spatial platform. Hope to see you there! #SpatialX #BioTuring #Xenium #SpatialTranscriptomics #SpatialProteomics #SingleCell #Bioinformatics