视网膜
神经形态工程学
光电探测器
计算机科学
全色胶片
窄带
材料科学
光电子学
光学
人工智能
物理
人工神经网络
多光谱图像
电信
作者
Yuchen Hou,Junde Li,Jungjin Yoon,Abbey Knoepfel,Dong Yang,Luyao Zheng,Tao Ye,Swaroop Ghosh,Shashank Priya,Kai Wang
出处
期刊:Science Advances
[American Association for the Advancement of Science]
日期:2023-04-14
卷期号:9 (15)
被引量:35
标识
DOI:10.1126/sciadv.ade2338
摘要
The retina is the essential part of the human visual system that receives light, converts it to neural signal, and transmits to brain for visual recognition. The red, green, and blue (R/G/B) cone retina cells are natural narrowband photodetectors (PDs) sensitive to R/G/B lights. Connecting with these cone cells, a multilayer neuro-network in the retina provides neuromorphic preprocessing before transmitting to brain. Inspired by this sophistication, we develop the narrowband (NB) imaging sensor combining R/G/B perovskite NB sensor array (mimicking the R/G/B photoreceptors) with a neuromorphic algorithm (mimicking the intermediate neural network) for high-fidelity panchromatic imaging. Compared to commercial sensors, we use perovskite "intrinsic" NB PD to exempt the complex optical filter array. In addition, we use an asymmetric device configuration to collect photocurrent without external bias, enabling a power-free photodetection feature. These results display a promising design for efficient and intelligent panchromatic imaging.
科研通智能强力驱动
Strongly Powered by AbleSci AI