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arXiv 2407.03053physics.opticsphysics.app-ph
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基于单旋转薄膜编码器的可见光、近红外与中红外计算光谱仪

Visible, Near-, and Mid-infrared Computational Spectrometer Enabled by Single-Spinning Film Encoder

Junren Wen, Weiming Shi, Cheng Gao, Yujie Liu, Shuaibo Feng, Yu Shao, Haiqi Gao, Yuchuan Shao, Yueguang Zhang, Weidong Shen, Chenying Yang

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AI总结：

本文提出一种基于单旋转薄膜编码器与深度学习重建算法相结合的计算光谱仪，利用斜入射偏振分离效应和粒子群优化实现可见光至中红外宽波段高分辨率光谱分析，并在220种化合物分类中取得81.38%的精度。

摘要：

计算光谱仪在实现低成本、原位和快速光谱分析方面至关重要，在化学、生物学和环境科学中具有潜在应用。然而，基于滤光片的光谱编码方法通常使用滤光片阵列，这使制造过程复杂化并妨碍器件一致性。利用斜入射下的偏振分离效应（PSEOI），我们率先使用单个滤光片进行高效光谱编码，并提出了一种通过将单旋转薄膜编码器（SSFE）与基于深度学习重建算法相结合、覆盖可见光至中红外波长的计算光谱仪。采用粒子群优化（PSO）方法优化SSFE的薄膜配置，在不同偏振和旋转角度下实现低相关性和高复杂度的光谱响应，从而提升不同光谱范围内的光谱分辨率和重建精度。在可见光、近红外和中红外波段，单峰窄带光谱分别可实现高达0.5 nm、2 nm、10 nm的光谱分辨率，双峰窄带光谱分别可实现3 nm、6 nm、20 nm的分辨率。此外，该光谱仪对220种化合物分类的整体精度达到81.38%，证实了其在实际场景中的稳健性和精度，以及提供紧凑、低成本光谱解决方案的能力。

英文摘要：

Computational spectrometers are pivotal in enabling low-cost, in-situ and rapid spectral analysis, with potential applications in chemistry, biology, and environmental science. However, filter-based spectral encoding approaches typically use filter arrays, complicating the manufacturing process and hindering device consistency. By capitalizing on the polarization separation effect under oblique incidence (PSEOI), we pioneer the use of a single filter for highly efficient spectral encoding, and propose a novel computational spectrometer spanning visible to mid-infrared wavelengths by combining the Single-Spinning Film Encoder (SSFE) with deep learning-based reconstruction algorithm. The particle swarm optimization (PSO) method is employed to optimize the film configuration of SSFE, achieving low-correlation and high-complexity spectral responses under different polarizations and spinning angles, thereby enhancing both spectral resolution and accuracy of reconstruction across diverse spectral ranges. Spectral resolutions up to 0.5 nm, 2 nm, 10 nm can be realized for single-peak narrowband spectra, and 3 nm, 6 nm, 20 nm for dual-peak narrowband spectra, over the visible, near-, and mid-infrared wavelength ranges, respectively. Moreover, the proposed spectrometer demonstrates an overall 81.38% precision for the classification of 220 chemical compounds, confirming its robustness and precision in practical scenarios, along with the capability for compact, cost-effective spectroscopic solutions.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。

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