Basic image processing using Fiji
Date: 30 January 2026 @ 09:00 - 17:00
Language of instruction: English
As microscopy has become central to life science research, the ability to process and analyze image data is essential for PhD students, postdocs, and technical staff working with biological images. This introductory training offers a hands-on approach to image processing with Fiji, an open-source platform based on ImageJ.You will learn to perform basic image processing tasks, apply filters, and use plugins for biological image quantification. This includes using built-in machine learning and neural network methods for image segmentation tasks. The course also covers automating repetitive tasks with macros, enabling more efficient and reproducible workflows. By the end of the session, you will have the practical skills to analyze microscopy images and develop simple analysis pipelines for your research.
Keywords: Artificial Inteligence, hands-on, imaging, software
Venue: Leuven - Campus Gasthuisberg, Herestraat 49
City: Leuven
Country: Belgium
Postcode: 3000
Learning objectives:
- “Apply standard image processing operations (filtering thresholding segmentation)”
- “Create simple image analysis workflows and build a Fiji macro for batch processing”
- “Evaluate image analysis quality and accuracy by comparing processed and raw data”
- “Identify core Fiji interface components and describe their functions in image analysis”
- “Modify existing macro scripts to specific experimental needs”
- “Use key Fiji plugins for common life science image analysis tasks”
Organizer: VIB
Event types:
- Workshops and courses
Instructors: 
Benjamin Pavie, Nicolas Peredo
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