Belgium
Quantitative bioimage analysis in QuPath: essentials
Date: 2 October 2026 @ 09:00 - 17:00
Language of instruction: English
As high-throughput imaging becomes increasingly central to biomedical research, the ability to efficiently analyze whole slide images is essential. This training provides a hands-on introduction to QuPath, a powerful open-source platform for bioimage analysis.You will learn how to navigate the software and leverage built-in machine learning algorithms (including Random Forest and neural networks) to perform cell segmentation, classify pixels and objects, and extract quantitative features. We will also introduce basic scripting for batch processing, enabling scalable workflows.
Keywords: Artificial Inteligence, hands-on, imaging, software
Venue: Ghent - VIB/UGent FSVM II, Technologiepark 75
City: Zwijnaarde
Country: Belgium
Postcode: 9052
Learning objectives:
- including image management annotation tools and project organization”
- “Apply cell segmentation techniques to detect and quantify cellular structures in whole slide images”
- “Classify tissue regions using pixel classification tools based on staining patterns and morphological features”
- “Differentiate between object classification strategies and apply them to label biological structures”
- “Execute basic QuPath scripts to batch process multiple images”
- “Extract quantitative features from annotated regions to support downstream statistical analysis”
- “Identify the core functionalities of QuPath
Organizer: VIB
Event types:
- Workshops and courses
Instructors: 
Benjamin Pavie, Amanda Gonçalves
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