Building on a previous webinar that introduced the principles of machine learning and AI for image segmentation, this session shifts the focus to real-world use cases. We will walk through complete analysis workflows, starting with SEM image acquisition and ending with validated numerical results such as size distributions, area fractions, layer thickness, and defect statistics.

Through selected examples, we show how AI-assisted segmentation can be trained, refined, and applied in ImagePro, and how the resulting measurements can be reviewed, exported, and used for reporting, R&D, and quality control. The emphasis is on transparency, reproducibility, and practical implementation rather than theory.

This webinar is aimed at users who want to move from “AI curiosity” to confident, everyday use of AI-driven image analysis in electron microscopy.

See the recorded webinar