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Recent Enhancements to Interline and Electron Multiplying CCD Image Sensors
Eric G Stevens1, Jeffrey A Clayhold2, Hung Doan3
1ON Semiconductor, 1964 Lake Avenue, Rochester, NY 14615, USA. eric.stevens@onsemi.com.
Recent process modifications significantly improved interline and electron-multiplying charge-coupled-device (EMCCD) image sensor performance. These enhancements include increased near-infrared quantum efficiency and reduced image smear for better imaging applications.
Area of Science:
- Semiconductor device physics
- Image sensor technology
- Optoelectronics
Background:
- Interline and electron-multiplying charge-coupled-device (EMCCD) image sensors are crucial for various imaging applications.
- Performance limitations such as low quantum efficiency and image smear affect sensor utility.
- Gain aging in EMCCDs can degrade performance over time.
Purpose of the Study:
- To detail recent process modifications aimed at enhancing interline and EMCCD image sensor performance.
- To investigate methods for improving quantum efficiency and reducing image smear.
- To address gain aging issues in EMCCD devices.
Main Methods:
- Utilized MeV ion implantation to modify quantum efficiency and reduce smear.
- Adjusted the depth of shallow photodiode (PD) implants to lower transfer gate voltages.
- Implemented an oxide-only dielectric layer under the multiplication phase for EMCCDs.
Main Results:
- Achieved a 2× increase in quantum efficiency in the near-infrared (NIR) spectrum.
- Reduced image smear by 6 dB overall and an additional 4 dB in the blue visible spectrum.
- Lowered photodiode-to-vertical-charge-coupled-device (VCCD) transfer gate voltage by 3 V and electronic shutter voltage by 9 V.
- Eliminated gain aging in EMCCDs through a modified dielectric structure.
Conclusions:
- The described process modifications offer significant performance improvements for interline and EMCCD image sensors.
- These advancements lead to better quantum efficiency, reduced image artifacts, and improved operational stability.
- The findings contribute to the development of higher-performing image sensors for demanding applications.
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