AI helps microscopes find the most informative nanoscale features in a sample

Oak Ridge National Laboratory researchers developed SimuScan, an AI framework that autonomously guides atomic force microscopes to identify and focus on key nanoscale features in samples, overcoming the shortage of high-quality labeled training data by generating realistic synthetic AFM images for AI training.

This Wire brief sits within Fusion42's coverage of Deep Tech: Telecom & Connectivity.