
Super-resolution imaging
Rationalized deep learning improves image reconstruction by incorporating prior knowledge of illumination patterns
Rationalized deep learning improves image reconstruction by incorporating prior knowledge of illumination patterns
Leveraging advances in hardware and probes, we have combined innovations in optics and algorithms to allow automated single-molecule-based super-resolution imaging at unprecedented throughput. This approach allows us to obtain nanoscale information from large cell populations, bridging the gap between imaging and indirect ensemble methods.