Machine learning for scientific instruments

ORNL's SimuScan trains microscope AI on deliberately imperfect synthetic scans

Labeled atomic force microscopy images are scarce, so an Oak Ridge team simulated the drift, noise and tip artifacts that operators fight every day, then tested whether models trained on the simulation find real features in real scans.