A self-alignment attention-guided residual-in-residual dense generative adversarial networks architecture closes the gap between speed, field of view, and image quality of label-free nonlinear optical microscopes which are notoriously slow.
- Binglin Shen
- Shaowen Liu
- Liwei Liu
