A research team from The Hong Kong University of Science and Technology (HKUST) has developed GrainBot, an AI-enabled toolkit that automatically extracts and quantifies multiple microstructural features from microscopy images. Designed to meet the growing need for data-driven and autonomous research workflows in materials science, the tool provides a systematic method for converting complex image information into quantitative data, thereby accelerating the discovery and development of next-generation materials.