A compact imaging spectrometer based on random dispersion and up-conversion luminescence

Tao Yang; Han-ning Shen; Qing-feng Geng; Ho-pui Ho; Ming-dong Yi; Wei Huang

doi:10.1117/12.2575520

10 October 2020 A compact imaging spectrometer based on random dispersion and up-conversion luminescence

Tao Yang, Han-ning Shen, Qing-feng Geng, Ho-pui Ho, Ming-dong Yi, Wei Huang

Proceedings Volume 11547, Optoelectronic Devices and Integration IX; 115470P (2020) https://doi.org/10.1117/12.2575520
Event: SPIE/COS Photonics Asia, 2020, Online Only

Abstract

By using a frosted glass plate and an infrared sensor card, we demonstrate a miniature imaging spectrometer design that covers a broad wavelength range from visible to infrared with high spectral resolution. The spectral contents of the incident probe beams are reconstructed by solving a series of matrix equations with a nonlinear optimization algorithm. The proposed imaging spectrometer offers significant advantages over current instruments that are based on Fourier transform and grating dispersion, in terms of size, resolution, spectral range, cost and reliability. The imaging spectrometer consists of five primary components for performing the functions of collimation, dispersion, modulation, detection, and calculation, respectively. Disordered small particles of the frosted glass in dispersion component reduce the fabrication complexity. An infrared sensor card in the conversion component broaden the operational spectral range of the system into visible and infrared bands. Since the CCD used in the detection component provides very large number of intensity measurements, one can reconstruct all spectra with high resolution.

Conference Presentation

Citation Download Citation

Tao Yang, Han-ning Shen, Qing-feng Geng, Ho-pui Ho, Ming-dong Yi, and Wei Huang "A compact imaging spectrometer based on random dispersion and up-conversion luminescence", Proc. SPIE 11547, Optoelectronic Devices and Integration IX, 115470P (10 October 2020); https://doi.org/10.1117/12.2575520

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