AI for nanoparticle TEM/STEM has progressed from detection and segmentation to physics-informed restoration, 2D-to-3D inference, and spatiotemporal analysis of in situ dynamics, with remaining gaps in benchmarking and ground truth.
Deep Learning Detection of Nanoparticles and Multiple Object Tracking of their Dynamic Evolution during In Situ ETEM Studies
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The evolution of AI from image interpretation toward scientific inference in nanoparticle electron microscopy
AI for nanoparticle TEM/STEM has progressed from detection and segmentation to physics-informed restoration, 2D-to-3D inference, and spatiotemporal analysis of in situ dynamics, with remaining gaps in benchmarking and ground truth.