Fig. 1
Principle of deep learning super-resolution microscopy. a. Optical diffraction leads to overlapping signals from adjacent fluorescent molecules, which limits the resolution of fluorescence images. b. SMLM achieves super-resolution imaging by localizing the coordinates of independent single molecules. c. Principle of deep learning super-resolution microscopy. The super-resolution model is trained using LR images as input and corresponding super-resolution images as labels (such as SMLM images). After training, the model can be applied to enhance the resolution of previously unseen diffraction-limited images.
