Engineering and Technology

Miniature computational spectrometer with a plasmonic nanoparticles-in-cavity microfilter array

Y. Zhang, S. Zhang, et al.

Discover an innovative miniature computational spectrometer, developed by researchers Yangxi Zhang, Sheng Zhang, Hao Wu, Jinhui Wang, Guang Lin, and A. Ping Zhang. By integrating plasmonic nanoparticles with a CMOS image sensor, this groundbreaking work achieves sub-nanometer resolution in visible-light spectral measurement, paving the way for advanced miniature optical spectrometers.

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Abstract

This paper presents a miniature computational spectrometer utilizing a plasmonic nanoparticles-in-cavity microfilter array and a complementary metal oxide semiconductor (CMOS) image sensor. Size-controlled silver nanoparticles are printed into Fabry-Pérot microcavities with varying lengths. The strong coupling between localized surface plasmon resonance and Fabry-Pérot resonance regulates transmission spectra, creating a large-scale arrayed spectrum-disparate microfilter. A machine learning-based training process enables sub-nanometer resolution visible-light spectral measurement. The high scalability of this approach facilitates development of high-performance miniature optical spectrometers.

Publisher

Nature Communications

Published On

May 07, 2024

Authors

Yangxi Zhang, Sheng Zhang, Hao Wu, Jinhui Wang, Guang Lin, A. Ping Zhang

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