Presentation
18 June 2024 Tunable liquid crystal Fabry-Perot as a spectral modulator for computational spectral imaging
Doron Pasha, Majd Abu Aisheh, Issac August, Ibrahim Abdulhalim
Author Affiliations +
Abstract
Computational spectral imaging systems have been gaining momentum in recent years thanks to their ability to acquire information using a smaller number of measurements alongside emerging powerful Deep Learning algorithms. Recently [1] we developed a multispectral imaging system based on 25um liquid crystal retarder; however, its relatively large thickness limits the speed. In this work, we will present a multispectral imaging system based on a 2um thick Fabry-Perot spectral modulator filled with nematic liquid crystal combined with a deep learning algorithm. The system combined with a novel deep learning algorithm, designed to operate at 9 narrow spectral bands covering the VIS and NIR, holds a fast response and provides reliable spectral information, which makes it a potential candidate for various applications. [1] Doron Pasha, Marwan J. Abuleil, Isaac August, Ibrahim Abdulhalim, Faster multispectral imager based on thin liquid crystal modulator and 3D neural network lattice, Lasers&Photonics Review 2200913(8p) (2023).
Conference Presentation
© (2024) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Doron Pasha, Majd Abu Aisheh, Issac August, and Ibrahim Abdulhalim "Tunable liquid crystal Fabry-Perot as a spectral modulator for computational spectral imaging", Proc. SPIE PC13016, Liquid Crystals Optics and Photonic Devices, PC1301606 (18 June 2024); https://doi.org/10.1117/12.3016924
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KEYWORDS
Liquid crystals

Modulators

Modulation

Fabry Perot interferometers

Imaging spectroscopy

Algorithm development

Imaging systems

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