Belgium
Spatial metabolomics data analysis
Date: 17 February 2026 @ 09:00 - 17:00
Language of instruction: English
Understanding the spatial distribution of metabolites, lipids, and proteins is key to uncovering complex biological processes. Mass spectrometry imaging (MSI) makes this possible by enabling direct detection of metabolites, lipids, and proteins from tissue surfaces. In this course, you will learn the different steps required to analyze spatial metabolomics data obtained with MSI. During the exercise sessions, you will apply these steps in practice, analyzing real MSI datasets with tools such as the Cardinal package in R and IsoScope. By the end of the course, you will be able to explore, process, visualize, and interpret spatial (including tracer) metabolomics data and apply these skills to your research.
Keywords: Artificial Inteligence, omics
Venue: Leuven - Campus Gasthuisberg, Herestraat 49
City: Leuven
Country: Belgium
Postcode: 3000
Learning objectives:
- “Apply preprocessing techniques to MS imaging data using the Cardinal package in R”
- “Describe MS imaging data formats and how to import them into R”
- “Export processed data for downstream analysis”
- “Interpret the results of the MSI-based models”
- “Introduce the fundamentals of mass spectrometry imaging (MSI) and its relation to (tracer) metabolomics”
- “Utilize IsoScope and Cardinal to visualize spatial metabolomics data and perform statistical analyses to detect meaningful patterns”
Organizer: VIB
Event types:
- Workshops and courses
Instructors: Marco Giampà, 
Peter Verhaert
Activity log
