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Enhancing Discharge Performance and Image Lag Characteristics in PIN Diode X-Ray Sensors with a Reset Transistor.

Hanbin Jang1, Jinwook Heo2, Moonjeong Bok1

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Researchers developed a new image sensor to reduce image lag in electric vehicle battery inspections. This novel design significantly improves high-frame-rate performance for faster, more reliable non-destructive testing.

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Area of Science:

  • Materials Science
  • Electrical Engineering
  • Sensor Technology

Background:

  • The increasing adoption of electric vehicles (EVs) necessitates advanced non-destructive inspection methods for battery evaluation.
  • High-frame-rate performance is crucial for rapid EV battery inspection, but image lag in sensors poses a significant challenge.
  • Existing sensor designs face limitations that increase image delay with higher frame rates, hindering inspection efficiency.

Purpose of the Study:

  • To analyze the fundamental causes of image lag in image sensors.
  • To develop a novel sensor design that mitigates image lag for high-frame-rate applications.
  • To improve the performance of digital image sensors for critical inspection tasks.

Main Methods:

  • Conducted an in-depth analysis of image lag mechanisms in image sensors.
  • Fabricated a novel sensor incorporating a separate reset transistor and a readout transistor.
  • Utilized Indium Gallium Zinc Oxide (InGaZnO) as the transistor material.

Main Results:

  • The novel sensor design significantly reduced image lag from 3.8% (STS) to 0.9% (DTS) under high-frame-rate operation.
  • The dedicated reset transistor increased the allowable reset current of the PIN diode by 100 times compared to ROIC-limited conditions.
  • InGaZnO transistor material demonstrated superior image lag reduction compared to conventional methods.

Conclusions:

  • The developed sensor effectively addresses the challenge of image lag in high-frame-rate imaging.
  • This research provides a foundation for designing new X-ray digital image sensor structures.
  • The findings have implications for improving inspection speed and accuracy in EV battery diagnostics and other applications.