Jiateng Shou

Serial electron microscopy is the workhorse of brain connectomics, yet imaging a cubic millimeter of brain takes months to years. ZoomSEM trains a super-resolution model on real low- and high-resolution SEM image pairs and recovers 4×, 8× and up to 16× higher-resolution images from fast low-resolution scans while preserving the fine neuronal structures connectomic analysis needs, reaching up to 30-fold effective acceleration. Experiments across datasets of diverse biological samples show robust generalization under realistic low-resolution acquisition.

Serial electron microscopy is the workhorse of brain connectomics, yet imaging a cubic millimeter of brain takes months to years. ZoomSEM trains a super-resolution model on real low- and high-resolution SEM image pairs and recovers 4×, 8× and up to 16× higher-resolution images from fast low-resolution scans while preserving the fine neuronal structures connectomic analysis needs, reaching up to 30-fold effective acceleration. Experiments across datasets of diverse biological samples show robust generalization under realistic low-resolution acquisition.