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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationOptoelectronic Devices and Integration IX
EditorsXuping Zhang, Baojun Li, Changyuan Yu, Xinliang Zhang
PublisherSPIE
ISBN (Electronic)9781510639096
DOIs
StatePublished - 2020
Externally publishedYes
EventOptoelectronic Devices and Integration IX 2020 - Virtual, Online, China
Duration: 12 Oct 202016 Oct 2020

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11547
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceOptoelectronic Devices and Integration IX 2020
Country/TerritoryChina
CityVirtual, Online
Period12/10/2016/10/20

Keywords

  • imaging spectroscopy
  • multi-spectral imaging
  • spectrum reconstruction

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