Deep learning is being used to enhance the capabilities of STED microscopy, a type of fluorescence imaging. This technology is being explored for various applications, including super-resolution microscopy and the restoration of compromised biophotonic image data. Research in this area appears to be ongoing, with multiple studies and frameworks being developed to improve imaging techniques.