Worked on the Image-Analysis-Hub/Pasteur-BioImage-Analysis-Course-2025 repository to enhance cell segmentation workflows using Jupyter Notebook and Python. Developed a new notebook-driven CellPose analysis pipeline, focusing on usability for large and high-resolution images. Improved installation processes by transitioning from conda to pip, standardizing environment setup, and clarifying documentation for dataset access and onboarding. Emphasized reproducibility and traceability by refining notebook metadata and streamlining testing procedures. The work integrated bioimage analysis, data management, and dependency management skills to reduce setup friction and support scalable analysis, resulting in a more accessible and robust environment for users working with complex imaging data.
May 2025 monthly summary for Image-Analysis-Hub/Pasteur-BioImage-Analysis-Course-2025: Delivered notebook-driven enhancements for CellPose analysis with a new analysis notebook, installation guidance, and dataset access documentation, complemented by standardized installation workflows to improve reproducibility and onboarding. The changes emphasize usability at scale for large/high-resolution images while maintaining rigorous traceability and testability.
May 2025 monthly summary for Image-Analysis-Hub/Pasteur-BioImage-Analysis-Course-2025: Delivered notebook-driven enhancements for CellPose analysis with a new analysis notebook, installation guidance, and dataset access documentation, complemented by standardized installation workflows to improve reproducibility and onboarding. The changes emphasize usability at scale for large/high-resolution images while maintaining rigorous traceability and testability.
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