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Trilobite-inspired neural nanophotonic light-field camera with extreme depth-of-field
Engineering and TechnologyNature Communications

Trilobite-inspired neural nanophotonic light-field camera with extreme depth-of-field

Q. Fan, W. Xu, et al.

Researchers, including Qingbin Fan and Weizhu Xu, have developed a groundbreaking nanophotonic light-field camera inspired by the unique bifocal compound eyes of trilobites. This innovative technology captures high-resolution images over an extraordinary depth of field, allowing macro and telephoto views simultaneously, transforming the possibilities of visual imaging.... show more
Abstract
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.
Publisher
Nature Communications
Published On
Oct 26, 2022
Authors
Qingbin Fan, Weizhu Xu, Xuemei Hu, Wenqi Zhu, Tao Yue, Cheng Zhang, Feng Yan, Lu Chen, Henri J. Lezec, Yanging Lu, Amit Agrawal, Ting Xu
Tags
nanophotoniclight-field cameradepth of fieldbifocal metalenstrilobitehigh-resolution imagingconvolutional neural network
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