Journal Article

Type-printable photodetector arrays for multichannel meta-infrared imaging

Zhang, Qinghua, Liu, Yu, Zhang, Jinxing, Guo, Junxiong, Cai, Hongyi, Tian, Yu, Zhang, Xiaosheng, Zhang, Yafei, Lin, Yuan, Huang, Wen, Gu, Lin, Lin, Lin, Gu, Shuyi, Liu, Ze, Cai, Ji, Zhang, Yuelin

2024

Overview

Multichannel meta-imaging, inspired by the parallel-processing capability of neuromorphic computing, offers considerable advancements in resolution enhancement and edge discrimination in imaging systems, extending even into the mid- to far-infrared spectrum. Currently typical multichannel infrared imaging systems consist of separating optical gratings or merging multi-cameras, which require complex circuit design and heavy power consumption, hindering the implementation of advanced human-eye-like imagers. Here, we present printable graphene plasmonic photodetector arrays driven by a ferroelectric superdomain for multichannel meta-infrared imaging with enhanced edge discrimination. The fabricated photodetectors exhibited multiple spectral responses with zero-bias operation by directly rescaling the ferroelectric superdomain instead of reconstructing the separated gratings. We also demonstrated enhanced and faster shape classification (98.1%) and edge detection (98.2%) using our multichannel infrared images compared with single-channel detectors. Our proof-of-concept photodetector arrays simplify multichannel infrared imaging systems and offer potential solutions in efficient edge detection in human-brain-type machine vision. Here, the authors report the realization of a multichannel mid-infrared imaging system based on zero-bias type-printed graphene plasmonic photodetector arrays on ferroelectric substrates, showing enhanced infrared image recognition and edge detection accuracy.

• Publisher: Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
• Subject: 639/166/987 / 639/925/927/1021 / Arrays / Bias / Circuit design / Edge detection / Far infrared radiation / Ferroelectric materials / Ferroelectricity / Graphene / Gratings (spectra) / Humanities and Social Sciences / Image enhancement / Infrared imagery / Infrared imaging / Infrared imaging systems / Machine vision / multidisciplinary / Neuroimaging / Photometers / Plasmonics / Power consumption / Rescaling / Science / Science (multidisciplinary) / Substrates