Reconstructing interpretable features in computational super-resolution microscopy via regularized latent search
{{output}}
Supervised deep learning approaches can artificially increase the resolution of microscopy images by learning a mapping between two image resolutions or modalities. However, such methods often require a large set of hard-to-get low-res/high-res image pairs and... ...