Pixelated Bayer Spectral Router Based on Sparse Meta-atom Array
Yifan Shao, Rui Chen, Yubo Wang, Shuhan Guo, Junjie Zhan, Pankaj K., Choudhury, and Yungui Ma

TL;DR
This paper introduces a pixelated spectral router using sparse meta-atom arrays that significantly enhances light separation efficiency in Bayer sensors, offering polarization insensitivity and high incident angle tolerance for improved image sensing.
Contribution
It presents a novel CMOS-compatible spectral router based on Si3N4 nanostructures that improves light collection and spectral separation in image sensors, with robustness and scalability.
Findings
Over 56% signal enhancement compared to traditional filters
High incident angle tolerance over 30 degrees
Polarization insensitivity and compatibility with various pixel sizes
Abstract
It has long been a challenging task to improve the light collection efficiency of conventional image sensors built with color filters that inevitably cause the energy loss of out-of-band photons. Although various schemes have been proposed to address the issue, it is still very hard to make a reasonable tradeoff between device performance and practicability. In this work, we demonstrate a pixelated spectral router based on sparse meta-atom array, which can efficiently separate the incident R (600-700 nm), G (500-600 nm), and B (400-500 nm) band light to the corresponding pixels of a Bayer image sensor, providing over 56% signal enhancement above the traditional color filter scheme. The CMOS-compatible spectral router has superior characteristics of polarization insensitivity and high incident angle tolerance (over 30{\deg}), enabled by simple compound Si3N4 nanostructures which are very…
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Taxonomy
TopicsAtomic and Subatomic Physics Research · Quantum optics and atomic interactions · Electronic and Structural Properties of Oxides
