November 5, 2026
From shadowing to service: building STED and FLIM expertise at BRALM
With a new STED microscope due to arrive at the Basque Resource for Advanced Light Microscopy (BRALM) in Bilbao before the end of…
Spatial proteomics is rapidly transforming the way researchers study complex biological systems. To explore the latest developments in this fast-moving field, Euro-BioImaging is organising a Special Edition Virtual Pub dedicated to Spatial Proteomics on Friday, October 2, from 13:00–15:00 CEST, bringing together experts from academia and industry.
At this event, Walter de Back, Katana Labs, will explore how Katana Edge, a cloud-native spatial omics platform, can enhance the ability of R&D teams to perform spatial proteomics & more, without onsite computational infrastructure.
Katana Edge: AI-powered cloud platform to simplify your high-plex mIF and spatial proteomics analysis
By: Walter de Back, Katana Labs
Katana Edge is a cloud-native spatial omics platform that enables R&D teams to perform end-to-end analysis of ultra–high-plex WSIs and TMAs directly in the browser, without onsite computational infrastructure. Users benefit from automated data ingestion, intuitive high-resolution web-based visualization, and robust user/project management with secure collaboration and sharing, allowing distributed teams to jointly interrogate spatial datasets in real time.
Advanced AI workflows provide best-in-class whole-cell and tissue segmentation, quantitative feature extraction, phenotyping, and clustering across diverse assays, including multiplex immunofluorescence, spatial proteomics, spatial transcriptomics, FISH, and IHC. Platform-agnostic support for major imaging instruments and common data formats ensures seamless integration into existing pipelines, while fully managed cloud compute and storage reduce capital expenditure and operational overhead. Integrated exploratory analytics, including LLM-powered data interrogation and export to csv, anndata, fcs, and tif, shorten analysis cycles and enhance reproducibility and scalability in biomarker discovery and translational research.

November 5, 2026
With a new STED microscope due to arrive at the Basque Resource for Advanced Light Microscopy (BRALM) in Bilbao before the end of…
November 2, 2026
20–22 October 2026 | Turin, Italy | Hybrid course The Communications and Management Skills for Imaging Core Facilities course brought together 50 participants…
October 30, 2026
As part of the “Imaging 4 All – Access Track” programme, Dr Brice Tonfack, from the University of…