During November 2024, Megan Gehan focused on enhancing the reliability of the circle-detection workflow in the danforthcenter/plantcv repository. She addressed a critical failure mode in the Hough Circle Detection process by implementing robust error handling in Python, ensuring that the pipeline now terminates gracefully with an informative message when no circles are detected. Megan updated supporting helper functions to maintain consistency and expanded unit test coverage using Pytest to verify the new error handling logic. Her work emphasized defensive programming and code cleanup, reducing silent failures and improving feedback for researchers relying on automated image processing in plant phenotyping.