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Updated: Oct 1, 2025

Fabrication of Flexible Image Sensor Based on Lateral NIPIN Phototransistors
Published on: June 23, 2018
A Fully Solution-Printed Photosynaptic Transistor Array with Ultralow Energy Consumption for Artificial-Vision Neural
Jialin Shi1, Jiansheng Jie1,2, Wei Deng1
1Institute of Functional Nano and Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices, Soochow University, Suzhou, Jiangsu, 215123, P. R. China.
Researchers developed a fully solution-printed photosynaptic organic field-effect transistor (FSP-OFET) that significantly reduces energy consumption. This breakthrough offers efficient bionic optoelectronics for artificial perception systems and visual prosthetics.
Area of Science:
- Materials Science
- Neuroscience
- Electronics
Background:
- Photosynaptic organic field-effect transistors (OFETs) are key for bionic optoelectronics.
- Traditional OFETs consume high energy, exceeding biological synapses, limiting applications like visual prosthetics.
Purpose of the Study:
- To develop a low-power photosynaptic OFET for efficient neuromorphic light perception.
- To reduce the energy consumption of artificial synaptic devices.
Main Methods:
- Introduced a source Schottky barrier in a fully solution-printed photosynaptic OFET (FSP-OFET).
- Regulated charge-carrier injection for a novel operating mechanism.
- Fabricated an 8x8 FSP-OFET array on a flexible substrate.
Main Results:
- Achieved substantial reduction in operating voltage and current.
- Demonstrated ultralow energy consumption (0.07-34 fJ/spike short-term, 0.41-19.87 fJ/spike long-term plasticity), comparable to biological synapses.
- Successfully emulated visual nervous responses and achieved image recognition with an artificial optic-neural network.
Conclusions:
- The FSP-OFET offers a viable pathway to highly energy-efficient bionic optoelectronics.
- This technology enables advanced neuromorphic light-perception capabilities for future artificial intelligence systems.
- The developed device paves the way for realizing photonic neuromorphic functionality with minimal energy dissipation.
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