Workshop
Bioimage analysis in Python
21 apr. 2026 - 22 apr. 2026
Microscopy generates complex, multi-dimensional image data that requires efficient analysis to extract meaningful biological insights. This hands-on training teaches you practical skills for handling and processing microscopy images using Python.
Praktische info:
21 apr. 2026 - 22 apr. 2026
16 uur
Leuven - Campus Gasthuisberg | O&N5 - room 09.331 on 9th floor
Engels
Doelgroep: PhD, Postdoc, staff scientist, group leader, technical support, academic, researcher, industry professional
Inschrijven?
- Voorwaarden: Basic knowledge of Python programming and ability to work with Python environments (understanding of syntax, data structures, data handling, and basic plotting
- Prijs: €200 / €1000
georganiseerd door:
Leertraject
You will learn to visualize, manipulate, and analyze image data using tools such as Napari, allowing you to explore 2D and 3D datasets interactively. With built-in tools like Cellpose and Noise2Void, you will learn to leverage deep learning methods for bioimage analysis tasks like image segmentation and quantitative analysis.
Learning outcomes
- Navigate the Napari interface to visualize and interact with multi-dimensional microscopy images
- Import and export image data using Napari and Python libraries (e.g., bioio, NumPy) while preserving metadata
- Apply basic image processing techniques (e.g., filtering, intensity adjustments) within Napari
- Compute and plot quantitative descriptors (e.g., intensity histograms, object counts) for segmented images to support data analysis.
- Segment microscopy images using both classical approaches and automated tools to identify biological objects.
- Generate simple animations to communicate image analysis results.
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