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Applied Nanophotonics, Liquid Crystals and Biomedical Optics

Prof. Ibrahim Abdulhalim Research Group

Higher Speed Multispectral Imaging Using a Thin Liquid Crystal Layer in Metal Cavity and Artificial Intelligence Reconstruction Algorithm

Doron Pasha, Majd Abu Aisheh, Isaac Y. August, Ibrahim Abdulhalim

A concept and demonstration of a fast multispectral imager operating across the visible (Vis) and near-infrared (NIR) ranges is presented. This system utilizes a specially designed LC tunable metal-insulator-metal (MIM) cavity combined with a passive multiband pass filter (MBF). The integration of the MBF with the MIM device, along with advanced artificial intelligence algorithms, provides several key benefits: i) lower production cost, ii) dual functionality of the metal layers as reflectors and electrodes, iii) a richer spectrum exhibiting a larger number of peaks and valleys at reduced thickness, enabling faster switching and robust spectrum reconstruction, iv) a broader operational spectrum, v) higher light throughput as only one polarizer is needed, vi) reduced tolerance requirements on the contrast of the spectrum due to the use of artificial neural nets reconstruction algorithm, and vii) lower operation voltage. The MIM tunable device exhibits as fast as 50 µs stabilization time with an average value of 250 µs, and a total acquisition time of <5 ms, highlighting the potential of this technology for high-rate multispectral video. The system's applicability is demonstrated in food monitoring, showcasing its potential for real-time efficient spectral analysis.

Publication language English
Volume 19
Issue number 24
Publication status Published - 17.12.2025

Keywords

Fabry–Perot
artificial intelligence
liquid crystal
multispectral imaging

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Atomic and Molecular Physics, and Optics
Condensed Matter Physics
Access to Document
10.1002/lpor.202500547
Other files and links
Link to publication in Scopus