On the use of deep learning for phase recovery
Phase recovery (PR) refers to calculating the phase of the light field from its intensity
measurements. As exemplified from quantitative phase imaging and coherent diffraction …
measurements. As exemplified from quantitative phase imaging and coherent diffraction …
High-throughput terahertz imaging: progress and challenges
Many exciting terahertz imaging applications, such as non-destructive evaluation,
biomedical diagnosis, and security screening, have been historically limited in practical …
biomedical diagnosis, and security screening, have been historically limited in practical …
Transport of intensity diffraction tomography with non-interferometric synthetic aperture for three-dimensional label-free microscopy
We present a new label-free three-dimensional (3D) microscopy technique, termed transport
of intensity diffraction tomography with non-interferometric synthetic aperture (TIDT-NSA) …
of intensity diffraction tomography with non-interferometric synthetic aperture (TIDT-NSA) …
Broad-band polarization-insensitive metasurface holography with a single-phase map
The remarkable potential of metasurface holography promises revolutionary advancements
for imaging, chip-integrated augmented/virtual reality (AR/VR) technology, and flat optical …
for imaging, chip-integrated augmented/virtual reality (AR/VR) technology, and flat optical …
Single-layer spatial analog meta-processor for imaging processing
Computational meta-optics brings a twist on the accelerating hardware with the benefits of
ultrafast speed, ultra-low power consumption, and parallel information processing in …
ultrafast speed, ultra-low power consumption, and parallel information processing in …
Broadband chiro‐optical effects for futuristic meta‐holographic displays
Futuristic holographic displays will essentially require broadband chiro‐optical effects for
medical imaging, virtual reality, smart security, and optical encryption. However …
medical imaging, virtual reality, smart security, and optical encryption. However …
Polarization multiplexed diffractive computing: all-optical implementation of a group of linear transformations through a polarization-encoded diffractive network
Research on optical computing has recently attracted significant attention due to the
transformative advances in machine learning. Among different approaches, diffractive …
transformative advances in machine learning. Among different approaches, diffractive …
Deep-learning-enabled temporally super-resolved multiplexed fringe projection profilometry: high-speed kHz 3D imaging with low-speed camera
Recent advances in imaging sensors and digital light projection technology have facilitated
rapid progress in 3D optical sensing, enabling 3D surfaces of complex-shaped objects to be …
rapid progress in 3D optical sensing, enabling 3D surfaces of complex-shaped objects to be …
Training large-scale optoelectronic neural networks with dual-neuron optical-artificial learning
Optoelectronic neural networks (ONN) are a promising avenue in AI computing due to their
potential for parallelization, power efficiency, and speed. Diffractive neural networks, which …
potential for parallelization, power efficiency, and speed. Diffractive neural networks, which …
Unlocking ultra-high holographic information capacity through nonorthogonal polarization multiplexing
J Wang, J Chen, F Yu, R Chen, J Wang, Z Zhao… - Nature …, 2024 - nature.com
Contemporary studies in polarization multiplexing are hindered by the intrinsic orthogonality
constraints of polarization states, which restrict the scope of multiplexing channels and their …
constraints of polarization states, which restrict the scope of multiplexing channels and their …