Course description:

This course is structured in two parts and applicants may register for either part or both:

Introductory Session (October 20-21): Tailored for absolute beginners in Python programming, with a particular emphasis on image analysis and processing. While the skills learned will have broad applications, the focus will center on essential techniques for working with digital images. Prior knowledge of digital imaging is helpful but not required, as all methods will be clearly demonstrated and explained to build a strong foundation in the basics.

Advanced Session (October 27-28): A continuation of the introductory session, focusing on more complex methods, alternative approaches, and hands-on practice with tools like Napari for advanced visualization and AI tools like Cellpose for segmentation. This session builds on skills from the first part, making it ideal for participants who have completed the beginner session and wish to deepen their expertise.

Applicants may register for either part or both.

Covered topics:

• Introductory sessions aimed at installing and familiarizing participants with Conda, Python, and Jupyter Notebook
• Fundamentals of Python syntax
• Image operations and image processing techniques in Python utilizing essential libraries
• AI-based tools for image processing and analysis
• Workflows and batch analysis for efficient processing of multiple images and data sets
• Image visualization in Napari
• Data analysis and visualization using libraries such as Pandas, Seaborn and Matplotlib

Registration and more information: