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Trilobite-inspired neural nanophotonic light-field camera with extreme depth-of-field
Qingbin Fan1,2,3, Weizhu Xu1,3, Xuemei Hu1,3
1National Laboratory of Solid-State Microstructures and Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing, 210093, China.
Nature Communications
|April 20, 2022
Summary
Inspired by trilobite eyes, a new nanophotonic camera captures high-resolution light-field images. This bifocal metalens camera achieves a record depth-of-field, enabling macro and telephoto imaging simultaneously.
Area of Science:
- Optics and Photonics
- Biomimicry
- Computational Imaging
Background:
- Trilobites possessed unique bifocal compound eyes, suggesting advanced visual capabilities.
- Existing cameras struggle with simultaneous macro and telephoto imaging over extended depth-of-field ranges.
Purpose of the Study:
- To develop a nanophotonic light-field camera inspired by trilobite vision.
- To achieve simultaneous macro and telephoto imaging with an extended depth-of-field.
Main Methods:
- Designed a spin-multiplexed bifocal metalens array.
- Integrated the metalens array into a nanophotonic camera.
- Employed a multi-scale convolutional neural network for image reconstruction.
Main Results:
- Demonstrated a camera with a record depth-of-field (centimeter to kilometer).
- Achieved simultaneous high-resolution macro and telephoto snapshot imaging.
- Eliminated optical aberrations using a neural network-based algorithm.
Conclusions:
- Biomimetic design enables unprecedented imaging capabilities.
- Nanophotonic technology and computational photography integration advance imaging systems.
- The developed camera overcomes limitations of traditional metasurface optics.
