New physics-informed neural network for universal and high-fidelity resolution enhancement in fluorescence microscopy

To address the limitations of current computational super-resolution microscopy, a team of researchers at Zhejiang University has introduced a novel deep-physics-informed sparsity framework that significantly enhances structural fidelity and universality.