Presentation + Paper
18 June 2024 Digital aberration correction to enhance the spectral resolution of miniaturized optical spectrometers
Jinyan Liu, Colas Schretter, Artem Shcheglov, Heidi Ottevaere, Yunfeng Nie
Author Affiliations +
Abstract
We propose digital correction methods for recovering aberrated spectra in a portable low-cost miniaturized grating-based spectrometer, which is modelled in optical and numerical simulations. To realize the digital spectrum recovery, different Point Spread Function (PSF) modelling approaches for wavelength-dependent PSFs are proposed and implemented into four digital correction algorithms, namely inverse Fourier Transform (IFT) deconvolution, Wiener deconvolution, Lucy-Richardson (LR) and Landweber iterative algorithm. Results show that both LR and Landweber algorithms can improve the spectral resolution by about a factor of two. The enhanced spectral resolution is comparable to that of commercial table-top spectrometers, while our spectrometer has a much smaller packaging volume of about one cubic inch.
Conference Presentation
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Jinyan Liu, Colas Schretter, Artem Shcheglov, Heidi Ottevaere, and Yunfeng Nie "Digital aberration correction to enhance the spectral resolution of miniaturized optical spectrometers", Proc. SPIE 12998, Optics, Photonics, and Digital Technologies for Imaging Applications VIII, 129980V (18 June 2024); https://doi.org/10.1117/12.3017394
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KEYWORDS
Point spread functions

Spectrometers

Deconvolution

Spectral resolution

Sensors

Zemax

Miniaturization

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