Applications: Deep Learning / Neuronal Network

Super-resolution image projection over an extended depth of field using a diffractive decoder

Focusing light through turbid and thick scattering media via a hybrid genetic neural network algorithm

Achieving high diffraction efficiency in LCoS-SLMs via neural-network-based precise fringe-field compensation

Dynamic eyebox expansion in holographic near-eye displays via active switching quarter-waveplate geometric phase prisms

Three-dimensional neural network driving self-interference digital holography enables high-fidelity, non-scanning volumetric fluorescence microscopy

High-Quality Phase-Only Holography via Frequency-Domain Hybrid Encoding and Multi-Scale Complex Attention

Unlocking high-frequency speckle details via relative frequency learning for robust imaging through scattering media

Multi-color compressive hologram synthesis with learned wave propagation

Higher-Order Spatial Mode Detection Leveraging Deep Learning on Random Optical Patterns

Fourier-plane wavefront and SLM aberration characterization via iterative scanning of beam deflector segments