An Active‐Matrix Synaptic Phototransistor Array for In‐Sensor Spectral Processing

The human retina perceives and preprocesses the spectral information of incident light, enabling fast image recognition and efficient chromatic adaptation. In comparison, it is reluctant to implement parallel spectral preprocessing and temporal information fusion in current complementary metal-oxide-semiconductor (CMOS) image sensors, requiring intricate circuitry, frequent data transmission, and color filters. Herein, an active-matrix synaptic phototransistor array (AMSPA) is developed based on organic/inorganic semiconductor heterostructures. The AMSPA provides wavelength-dependent, bidirectional photoresponses, enabling dynamic imaging and in-sensor spectral preprocessing functions. Specifically, near-infrared light induces inhibitory photoresponse while UV light results in exhibitory photoresponse. With rational structural design of the organic/inorganic hybrid heterostructures, the current dynamic range of phototransistor is improved to over 90 dB. Finally, a 32 × 64 AMSPA (128 pixels per inch) is demonstrated with one-switch-transistor and one-synaptic phototransistor (1-T-1-PT) structure, achieving spatial chromatic enhancement and temporal trajectory imaging. These results reveal the feasibility of AMSPA for constructing artificial vision systems.

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Publication Details

Journal
Advanced Science
Published
2024-08-21
DOI
https://doi.org/10.1002/advs.202406401
Citations
18
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
3.76

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article

An Active‐Matrix Synaptic Phototransistor Array for In‐Sensor Spectral Processing

Bowen Zhu, Lixiang Xing, Lei Meng, Qi Huang et al.
18 citations
Advanced Science
Advanced Memory and Neural Computing
3.76
article

An Active‐Matrix Synaptic Phototransistor Array for In‐Sensor Spectral Processing

Bowen Zhu, Lixiang Xing, Lei Meng, Qi Huang, Siyu Zhang, Yingjie Tang, Yitong Chen, Huihui Ren, Dingwei Li, Yan Wang
article en
18 citations

Abstract

The human retina perceives and preprocesses the spectral information of incident light, enabling fast image recognition and efficient chromatic adaptation. In comparison, it is reluctant to implement parallel spectral preprocessing and temporal information fusion in current complementary metal-oxide-semiconductor (CMOS) image sensors, requiring intricate circuitry, frequent data transmission, and color filters. Herein, an active-matrix synaptic phototransistor array (AMSPA) is developed based on organic/inorganic semiconductor heterostructures. The AMSPA provides wavelength-dependent, bidirectional photoresponses, enabling dynamic imaging and in-sensor spectral preprocessing functions. Specifically, near-infrared light induces inhibitory photoresponse while UV light results in exhibitory photoresponse. With rational structural design of the organic/inorganic hybrid heterostructures, the current dynamic range of phototransistor is improved to over 90 dB. Finally, a 32 × 64 AMSPA (128 pixels per inch) is demonstrated with one-switch-transistor and one-synaptic phototransistor (1-T-1-PT) structure, achieving spatial chromatic enhancement and temporal trajectory imaging. These results reveal the feasibility of AMSPA for constructing artificial vision systems.

Advanced ScienceVol. 11(39)
Chinese Academy of Sciences (CN), Westlake University (CN), Beijing National Laboratory for Molecular Sciences (CN), Institute of Chemistry (CN), Zhejiang University (CN)
Westlake University, National Natural Science Foundation of China
Openalex Percentile: Top 6%
Advanced Memory and Neural Computing
3.76
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