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10th Anniversary of LSA: Collection on Optical Imaging and Display
2022 marks the 10th anniversary of Light: Science & Applications (LSA). In the past decade, LSA has published hundreds of outstanding researches covering the fundamentals and applications in all areas of optics and photonics. From those published papers, we have picked some on Optical Imaging and Display to share with you, our readers. We hope this collection can stimulate more researches and practices in related fields, and promote further progress in optics and photonics research.
Advanced liquid crystal-based light engines and planar optical components play pivotal roles for systematically improving the image quality and formfactor of the augmented reality and virtual reality displays.
We demonstrate a dynamic synthesis deep learning framework to adaptively adjusts model weights and adapts to different scattering conditions, which opens up a new paradigm for adaptive computational imaging.
Holo-imprinting of photo-aligning planar liquid crystal optics enables a fast and efficient fabrication process for advanced imaging and display devices, including augmented reality and virtual reality.
Compressed time-reversal matrix microscopy was developed for high-throughput volumetric adaptive optical imaging, enabling aberration-free visualization of myelinated axons in a mouse brain with high volumetric resolution.
A THz near-field technique was proposed based on an air-plasma dynamic aperture, which can achieve sub-wavelength THz imaging without approaching the sample with any devices.
We demonstrate a versatile and user-friendly ultrafast single-shot imaging technique based on a simple and flexible acousto-optics spectro-temporal shaping stage combined with digital in-line holography.
Efficient blue-light excited cyan-emitting persistent luminescence phosphor BaLu2Al2Ga2SiO12:Ce3+, Bi3+ is designed and synthesized to effectively compensate for the flicker effect of AC LEDs.
Computational strategy based on deep neural networks enables to reconstruct high-density superresolution localization photoacoustic images from far fewer raw image frames.
A deep learning framework, termed Fourier Imager Network (FIN), performs end-to-end phase recovery and image reconstruction from raw holograms, achieving unprecedented success in generalization to new types of samples.
Micro-scaled structural color printings are demonstrated by light-programmed, solution-phase, additive manufacturing technique at ambient conditions without complex lithography or etching steps.
Combining supervised and unsupervised learning, a new machine-learning system synthesizes high-quality 3D phase-only holograms end-to-end without human intervention and corrects vision aberrations.
Emerging holographic optical elements and lithography-based devices are enhancing the performances of augmented reality and virtual reality displays with glasses-like form factor.
A space-variant information density three-dimensional display with ultrawide field of view is achieved by a large-scale 2D-metagrating complex, which shows great potential for portable electronic devices.
A high-accuracy source-independent radiometric calibration (SIRC) methodology with low complexity for both photoconductive and photovoltaic infrared photonic sensors is proposed to provide an easier SI-traceable way for global observation systems.
A Non-line-of-sight reconstruction framework with collaborative regularization of the hidden scene and the signal is proposed to obtain albedo and surface normal of the targets with robustness to noise.