Microscopy image analysis using Python
Date: 21 - 22 April 2026
Language of instruction: English
Microscopy generates complex, multi-dimensional image data that requires efficient analysis to extract meaningful biological insights. This introductory course provides researchers with practical skills for handling and processing microscopy images using Python. Participants will learn to visualize, manipulate, and analyze image data using tools such as Napari, enabling them to explore 2D and 3D datasets interactively. The training is designed for early-career scientists and support staff who want to integrate computational approaches into their imaging workflows. By the end of the session, attendees will be able to perform essential tasks, including image segmentation, metadata handling, and quantitative analysis, laying the foundation for reproducible, automated image processing in research.
Keywords: imaging
Venue: Leuven - Campus Gasthuisberg, Herestraat 49
City: Leuven
Country: Belgium
Postcode: 3000
Learning objectives:
- “Apply basic image processing techniques (filtering intensity adjustment) within Napari”
- “Compute and plot quantitative descriptors (intensity histograms object counts) for segmented images to support data analysis”
- “Create and manage labels and layers to effectively annotate and organize image data”
- “Create and validate image files in OME-TIFF format including metadata for interoperability”
- “Generate simple animations to communicate image analysis results”
- “Import and export image data using Napari and Python libraries (bioio NumPy) while preserving metadata”
- “Install and use Napari plugins to extend functionality for segmentation and analysis tasks”
- “Interpret image metadata to understand acquisition parameters and file structure”
- “Navigate the Napari interface to visualize and interact with multi-dimensional microscopy images”
- “Open and manipulate multi-dimensional microscopy images using Bioio and Numpy”
- “Segment microscopy images using both classical approaches and automated tools (CellPose) to identify biological objects”
- “Visualize 2D and 3D microscopy datasets interactively using NAPARI and its plugins”
Organizer: VIB
Event types:
- Workshops and courses
Activity log

Belgium