Fan Qingbin, Xu Weizhu, Hu Xuemei, Zhu Wenqi, Yue Tao, Zhang Cheng, Yan Feng, Chen Lu, Lezec Henri J, Lu Yanqing, Agrawal Amit, Xu Ting
National Laboratory of Solid-State Microstructures and Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing, 210093, China.
College of Engineering and Applied Sciences and Jiangsu Key Laboratory of Artificial Functional Materials, Nanjing University, Nanjing, 210093, China.
Nat Commun. 2022 Apr 19;13(1):2130. doi: 10.1038/s41467-022-29568-y.
A unique bifocal compound eye visual system found in the now extinct trilobite, Dalmanitina socialis, may enable them to be sensitive to the light-field information and simultaneously perceive both close and distant objects in the environment. Here, inspired by the optical structure of their eyes, we demonstrate a nanophotonic light-field camera incorporating a spin-multiplexed bifocal metalens array capable of capturing high-resolution light-field images over a record depth-of-field ranging from centimeter to kilometer scale, simultaneously enabling macro and telephoto modes in a snapshot imaging. By leveraging a multi-scale convolutional neural network-based reconstruction algorithm, optical aberrations induced by the metalens are eliminated, thereby significantly relaxing the design and performance limitations on metasurface optics. The elegant integration of nanophotonic technology with computational photography achieved here is expected to aid development of future high-performance imaging systems.
在现已灭绝的三叶虫——社交达尔曼虫(Dalmanitina socialis)中发现的独特双焦复眼视觉系统,可能使它们能够对光场信息敏感,并同时感知环境中的近处和远处物体。在此,受其眼睛光学结构的启发,我们展示了一种纳米光子光场相机,该相机包含一个自旋复用双焦超表面透镜阵列,能够在从厘米到公里尺度的创纪录景深范围内捕获高分辨率光场图像,同时在快照成像中实现宏观和长焦模式。通过利用基于多尺度卷积神经网络的重建算法,消除了超表面透镜引起的光学像差,从而显著放宽了对超表面光学的设计和性能限制。这里实现的纳米光子技术与计算摄影的巧妙结合,有望助力未来高性能成像系统的发展。