Course description:

This 5-day workshop is intended to give a thorough introduction to Bioimage analysis for individuals with little to no prior experience but who want to develop some basic skills in image processing and analysis workflows using both open-source and proprietary software. Participants will get hands-on experience with image restoration, segmentation techniques, feature extraction and tracking using classical and advanced machine and deep learning tools. Most importantly, students will gain insight in data visualization and analysis for reproducible research. By the end of the workshop, attendees will have the opportunity to work on a final project, in which they will be able to apply the newly learned skills on a real-world bioimage analysis challenge.

Workshop Objectives:

By the end of this workshop, participants will be able to:

• Understand foundational microscopy techniques and the principles of bioimage acquisition and analysis.
• Apply essential image processing methods, such as thresholding and segmentation, to analyze bioimages effectively.
• Use FIJI/ImageJ for performing detailed image analysis, including stitching, colocalization, and intensity-based comparisons.
• Leverage ZEISS arivis for advanced 3D visualization, machine learning-based segmentation, and tracking.
• Create reproducible data visualizations and establish workflows for consistent bioimage data management.
• Engage in hands-on sessions designed to tackle real-world bioimage analysis challenges.
• Connect and collaborate with peers, fostering professional networking and knowledge exchange.

Registration and more information: