摘要
基于空间扫描或波长扫描的传统光谱成像设备体积庞大,无法获取动态的光谱信息。利用超表面可以实现丰富的光谱调制函数,结合计算重建和空分复用方法可以实现高光谱分辨率和空间分辨率的实时光谱成像芯片。本文介绍了超表面光谱成像的基本原理,分别阐述了基于规则形状和自由形状的超表面光谱成像芯片的设计方法与性能指标,以及基于神经网络的光谱图像快速重建算法,简述了超表面光谱成像芯片在活体大鼠脑光谱成像、人脸防伪识别、自动驾驶等领域的应用,最后讨论和展望了超表面光谱成像芯片未来的发展趋势和应用前景。
Significance Spectrum generally refers to the electromagnetic wave spectrum in the wavelength range from ultraviolet to infrared bands,containing rich information about the interaction between matter and light waves.Spectrum is also called the"fingerprint"of matter.Spectral imaging can obtain three-dimensional data cubes containing the spectral information of each point in the two-dimensional image,which surpasses the perception ability of human eyes,and it thus has important application prospects in many fields such as disease diagnosis,precision agriculture,food safety,astronomical detection,and face recognition.According to the methods of data acquisition,spectral imaging can be divided into four categories:point scanning type,line scanning type,wavelength scanning type,and snapshot type.Traditional spectral imaging technology generally adopts the mode of spatial scanning or wavelength scanning,which fails to obtain the real-time spectral information of each pixel in the field of vision.In recent years,new single-point spectrometers based on computational spectral reconstruction have made a breakthrough in miniaturization,but there is no report about snapshot spectral imaging based on the above scheme.There is no research scheme for snapshot spectral imaging that can achieve high spectral accuracy,high spatial resolution,and high imaging speed simultaneously.For the spectral imaging scheme based on metasurfaces,different metasurface units with different structure parameters are designed to realize rich broadband modulation on the spectra of incident light at each spatial point.The modulated light signal is detected by the image sensor,and the spectral information of incident light is obtained by computational reconstruction.The number of metasurface units can be significantly smaller than that of wavelength channels,which effectively reduces the volume of a single microspectrometer.Spectral imaging can be realized through the periodic array of the computational spectrometer,which has the advantages of high des
作者
杨家伟
崔开宇
熊健
饶世杰
冯雪
刘仿
张巍
黄翊东
Yang Jiawei;Cui Kaiyu;Xiong Jian;Rao Shijie;Feng Xue;Liu Fang;Zhang Wei;Huang Yidong(Department of Electronic Engineering,Tsinghua University,Beijing 100084,China;Beijing National Research Center for Information Science and Technology(BNRist),Beijing 100084,China;Beijing Academy of Quantum Information Science,Beijing 100084,China)
出处
《光学学报》
EI
CAS
CSCD
北大核心
2023年第16期50-61,共12页
Acta Optica Sinica
基金
国家自然科学基金(U22A6004)
国家重点研发计划(2022YFF1501600)。
关键词
光学器件
超表面
光谱成像
自由形状超原子
神经网络
optical devices
metasurface
spectral imaging
freeform-shaped meta-atoms
neural network
