This method has broader implications for battery research and development. By enabling high-throughput analysis of particle degradation, it provides a valuable tool for assessing prototype materials, optimising manufacturing processes, and developing predictive models of battery performance. Furthermore, the GRAPES toolkit simplifies data processing, making it accessible to a wide range of researchers and facilitating integration with machine learning models for advanced analysis.