| 基于超表面和计算重建的新型光谱技术研究进展 |
| Advances in novel spectral techniques based on metasurface and computational reconstruction |
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| 中文摘要: |
| 旨在探讨光谱技术的最新研究进展，对以超表面光谱仪和计算重建光谱技术为代表的光谱分析领域前沿方向进行介绍。首先，介绍了超表面技术的原理，分析了超表面光谱仪轻量化、超紧凑的优点，阐述了折叠超表面光谱仪、基于多焦点超透镜的超表面光谱仪等具有代表性的超表面光谱仪的研究现状，探讨了超表面光谱仪在疾病诊断、质量控制、信息处理等领域的应用前景；接着，阐述了计算重建光谱技术的原理，介绍了波导型、空间型、滤光片编码型、探测器编码型计算重建光谱仪的特点和研究情况，探讨了计算重建光谱仪在频谱分析、化学研究等领域的应用潜力；然后，介绍了基于自由形状元原子的超表面超光谱成像仪、基于深度学习的超光谱成像仪的原理和特点，论述了将超表面与计算重建光谱技术相结合的优势，指出超表面与计算重建光谱技术的结合将推动光谱测量领域向更加智能化、便携化、多功能化的方向发展；最后，提出未来通过优化光谱图像重建算法、优化编码器和光电探测器设计方案和制造工艺等手段，推动光谱测量技术向更加准确、高效的方向发展。 |
| 英文摘要: |
| This paper aims to explore the latest research progress in spectroscopic technology and introduce the cutting-edge directions in the field of spectroscopic analysis, represented by metasurface spectrometers and computational reconstruction spectroscopic techniques. Firstly, the paper introduces the principle of metasurface technology, analyzes the advantages of lightweight and ultra?compact metasurface spectrometer, expounds the research status of representative metasurface spectrometers such as folding metasurface spectrometer and multi?focus metasurface spectrometer, and discusses the application prospect of metasurface spectrometer in the fields of disease diagnosis, quality control and information processing. Next, the principle of computational reconstruction spectroscopy is described, the characteristics and research situation of waveguide, spatial, filter coded and detector coded computational reconstruction spectrometers are introduced, and the application potential of computational reconstruction spectrometers in spectrum analysis and chemical research is discussed. Then, the principle and characteristics of metasurface hyperspectral imager based on free shape element and deep learning are introduced, and the advantages of combining metasurface and computational reconstruction spectroscopy are discussed. Last, it is pointed out that the combination of metasurface and computational reconstruction spectroscopy will promote the development of the spectrum measurement field to be more intelligent, portable and multi?functional. It is proposed that the spectral measurement technology can be developed more accurately and efficiently by optimizing spectral image reconstruction algorithm, encoder and photodetector design and manufacturing process in the future. |
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| 中文关键词: 光谱测量技术 超表面 计算重建 微型化 |
| 英文关键词:spectral measurement technique metasurface computational reconstruction miniaturization |
| 基金项目: |
| DOI：10.11823/j.issn.1674-5795.2024.04.03 |
| 引用本文：唐嘉晨, 张夙彗, 胡春光.基于超表面和计算重建的新型光谱技术研究进展[J].计测技术,2024,(4):. |
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