2 papers
physics.optics2026
Inverse-Designed Phase Prediction in Digital Lasers Using Deep Learning and Transfer Learning
Yu-Che Wu, Kuo-Chih Chang, Shu-Chun Chu
Digital lasers control the laser beam by dynamically updating the phase patterns of the spatial light modulator (SLM) within the laser cavity. Due to the presence of nonlinear effe…
physics.optics2025
Three-dimensional neural network driving self-interference digital holography enables high-fidelity, non-scanning volumetric fluorescence microscopy
Tianlong Man, Yuwen Zhang, Yuchen Wu +4
We present a deep learning driven computational approach to overcome the limitations of self-interference digital holography that imposed by inferior axial imaging performances. We…