Dual‐Mode Photodetectors Mimicking Retinal Rod and Cone Cells for High Dynamic Range Image Sensor

Abstract Capturing images with high fidelity that can discern objects in scenes across diverse lighting conditions is crucial for machine vision systems. Despite great efforts that have been adopted in conventional silicon‐photodiode‐based image sensors to achieve a high dynamic range (HDR), their dynamic range is still limited. Inspired by the dynamic adaptability of retinal cone/rod cells, a novel dual‐mechanism bionic vision sensor based on silicon‐on‐insulator and graphene stacks is reported. Under reverse bias, the device functions as a cone cell in photodiode mode, while under forward bias, it transitions to photoconductor mode, mimicking the behavior of a rod cell. This robust switch between photodiode and photoconductor modes mimics the complementary versatility of cone and rod cells in diverse lighting scenarios, achieving an expansive dynamic perception range of up to 170 dB. With response times of 5 ns and 4 µs in photodiode and photoconductor modes, respectively, the device fulfills the rapid response requisites of machine vision. Furthermore, imaging fusions are demonstrated by combining mean filtering based on images captured by the detector operating at different modes. This pioneering development offers a new device architecture that elevates the performance of photodetectors in image sensors for future machine vision systems.

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Publication Details

Journal
Laser & Photonics Review
Published
2025-03-06
DOI
https://doi.org/10.1002/lpor.202402192
Citations
10
Primary Topic
CCD and CMOS Imaging Sensors
Type
article
Field-Weighted Citation Impact
7.30

Funders

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article

Dual‐Mode Photodetectors Mimicking Retinal Rod and Cone Cells for High Dynamic Range Image Sensor

Tao Zou, Changyong Lan, Dapeng Wei, Shaofeng Wen et al.
10 citations
Laser & Photonics Review
CCD and CMOS Imaging Sensors
7.30
article

Dual‐Mode Photodetectors Mimicking Retinal Rod and Cone Cells for High Dynamic Range Image Sensor

Tao Zou, Changyong Lan, Dapeng Wei, Shaofeng Wen, Yi Yin, Yunchen Zhang, Haohan Chen, Shuren Zhou, Haodong Fan, Pan Gao, Chun Li, Yong Liu, Yiyang Wei
article en
10 citations

Abstract

Abstract Capturing images with high fidelity that can discern objects in scenes across diverse lighting conditions is crucial for machine vision systems. Despite great efforts that have been adopted in conventional silicon‐photodiode‐based image sensors to achieve a high dynamic range (HDR), their dynamic range is still limited. Inspired by the dynamic adaptability of retinal cone/rod cells, a novel dual‐mechanism bionic vision sensor based on silicon‐on‐insulator and graphene stacks is reported. Under reverse bias, the device functions as a cone cell in photodiode mode, while under forward bias, it transitions to photoconductor mode, mimicking the behavior of a rod cell. This robust switch between photodiode and photoconductor modes mimics the complementary versatility of cone and rod cells in diverse lighting scenarios, achieving an expansive dynamic perception range of up to 170 dB. With response times of 5 ns and 4 µs in photodiode and photoconductor modes, respectively, the device fulfills the rapid response requisites of machine vision. Furthermore, imaging fusions are demonstrated by combining mean filtering based on images captured by the detector operating at different modes. This pioneering development offers a new device architecture that elevates the performance of photodetectors in image sensors for future machine vision systems.

Laser & Photonics ReviewVol. 19(12)
University of Electronic Science and Technology of China (CN), Chongqing Institute of Green and Intelligent Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Sichuan Province
Openalex Percentile: Top 3%
CCD and CMOS Imaging Sensors
7.30
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