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Fabrication and characterization of optoelectronic in-sensor computing devices
Guang Zeng1,2, Sijie Ma1,2, Tianqing Wan1,2
1Department of Applied Physics, The Hong Kong Polytechnic University, Hong Kong, China.
Nature Protocols
|October 2, 2025
Summary
Researchers developed a procedure for bioinspired in-sensor computing devices. This method fabricates and tests optoelectronic devices for efficient, real-time data processing, reducing energy use.
Area of Science:
- Optoelectronics
- Bioinspired Computing
- Materials Science
Background:
- In-sensor computing devices process data at sensory terminals, reducing latency and energy use.
- Optoelectronic devices with tunable semiconductor channels can perform in-sensor computing functions like feature enhancement and data compression.
- Precise fabrication and testing are crucial for reliable in-sensor computing functionalities.
Purpose of the Study:
- To present a detailed procedure for fabricating and characterizing bioinspired in-sensor computing devices.
- To demonstrate the testing of optoelectronic devices for visual adaptation and motion perception.
- To provide a reproducible and time-efficient method for creating high-performance devices.
Main Methods:
- Fabrication of in-sensor computing devices using nanoscale semiconductor thin films.
- Characterization of optoelectronic device performance, including photoresponsivity and time constants.
- Testing protocols for visual adaptation and motion perception responses.
Main Results:
- The procedure yields highly reproducible device performance using commercially sourced semiconductor materials.
- The fabrication and testing steps are generalizable to other semiconductor thin films and growth methods.
- The developed method is time-efficient, taking approximately 14 days to complete.
Conclusions:
- The presented procedure enables the development of advanced bioinspired in-sensor computing devices.
- This work provides a framework for enhancing efficiency in data processing and real-time analysis.
- The methodology supports the advancement of optoelectronic devices for in-sensor computing applications.
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