Nature Communications (Jun 2022)
Deep learning enables reference-free isotropic super-resolution for volumetric fluorescence microscopy
Abstract
Volumetric fluorescence microscopy is often limited by anisotropic spatial resolution. Here, the authors present an unsupervised deep-learning approach that enhances axial resolution by learning from high-resolution lateral images, and demonstrate isotropic resolution and restoration of suppressed visual details.