Deep learning-based super-resolution and image transformation into structured illumination microscopy

We demonstrate single-image super-resolution in fluorescence microscopy using a trained neural-network, matching the resolution of structured illumination microscopy (SIM). This performance is achieved without any parameter estimation or assumptions about the imaging system.