Stephane Rigaud developed and maintained the Pasteur-BioImage-Analysis-Course-2025 repository, focusing on restructuring course materials and enhancing GPU-accelerated image analysis workflows. He reorganized documentation and directories to streamline onboarding and support AI-based bioimage analysis, while updating licensing to improve collaboration. Stephane introduced and refined Jupyter notebooks demonstrating device and memory management, multi-GPU tile processing, and reproducible image analysis using Python and pyclesperanto. He stabilized environment configuration and dependencies, reducing setup friction for learners and instructors. His work emphasized technical writing, documentation management, and code refactoring, resulting in accessible, scalable training materials that enable efficient adoption of advanced image processing techniques.