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用于超快速诊断的209皮秒快门时间互补金属氧化物半导体图像传感器。

A 209 ps Shutter-Time CMOS Image Sensor for Ultra-Fast Diagnosis.

作者信息

Cai Houzhi, Xie Zhaoyang, Ma Youlin, Xiang Lijuan

机构信息

Key Laboratory of Optoelectronic Devices and Systems of Education and Guangdong Province, Shenzhen Key Laboratory of Photonics and Biophotonics, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China.

出版信息

Sensors (Basel). 2025 Jun 19;25(12):3835. doi: 10.3390/s25123835.

DOI:10.3390/s25123835
PMID:40573722
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12196984/
Abstract

A conventional microchannel plate framing camera is typically utilized for inertial confinement fusion diagnosis. However, as a vacuum electronic device, it has inherent limitations, such as a complex structure and the inability to achieve single-line-of-sight imaging. To address these challenges, a CMOS image sensor that can be seamlessly integrated with an electronic pulse broadening system can provide a viable alternative to the microchannel plate detector. This paper introduces the design of an 8 × 8 pixel-array ultrashort shutter-time single-framing CMOS image sensor, which leverages silicon epitaxial processing and a 0.18 μm standard CMOS process. The focus of this study is on the photodiode and the readout pixel-array circuit. The photodiode, designed using the silicon epitaxial process, achieves a quantum efficiency exceeding 30% in the visible light band at a bias voltage of 1.8 V, with a temporal resolution greater than 200 ps for visible light. The readout pixel-array circuit, which is based on the 0.18 μm standard CMOS process, incorporates 5T structure pixel units, voltage-controlled delayers, clock trees, and row-column decoding and scanning circuits. Simulations of the pixel circuit demonstrate an optimal temporal resolution of 60 ps. Under the shutter condition with the best temporal resolution, the maximum output swing of the pixel circuit is 448 mV, and the output noise is 77.47 μV, resulting in a dynamic range of 75.2 dB for the pixel circuit; the small-signal responsivity is 1.93 × 10 V/e, and the full-well capacity is 2.3 Me. The maximum power consumption of the 8 × 8 pixel-array and its control circuits is 0.35 mW. Considering both the photodiode and the pixel circuit, the proposed CMOS image sensor achieves a temporal resolution better than 209 ps.

摘要

传统的微通道板分幅相机通常用于惯性约束聚变诊断。然而,作为一种真空电子器件,它具有固有的局限性,如结构复杂且无法实现单视线成像。为应对这些挑战,一种能够与电子脉冲展宽系统无缝集成的CMOS图像传感器可为微通道板探测器提供可行的替代方案。本文介绍了一种8×8像素阵列超短快门时间单幅CMOS图像传感器的设计,该传感器利用了硅外延工艺和0.18μm标准CMOS工艺。本研究的重点是光电二极管和读出像素阵列电路。采用硅外延工艺设计的光电二极管,在1.8V偏置电压下,可见光波段的量子效率超过30%,对可见光的时间分辨率大于200ps。基于0.18μm标准CMOS工艺的读出像素阵列电路包含5T结构像素单元、压控延迟器、时钟树以及行列解码和扫描电路。像素电路的仿真结果表明其最佳时间分辨率为60ps。在具有最佳时间分辨率的快门条件下,像素电路的最大输出摆幅为448mV,输出噪声为77.47μV,像素电路的动态范围为75.2dB;小信号响应度为1.93×10V/e,满阱容量为2.3Me。8×8像素阵列及其控制电路的最大功耗为0.35mW。综合考虑光电二极管和像素电路,所提出的CMOS图像传感器实现了优于209ps的时间分辨率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d10c/12196984/21d7d68cd481/sensors-25-03835-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d10c/12196984/21b045c37978/sensors-25-03835-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d10c/12196984/9dd53ee1685e/sensors-25-03835-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d10c/12196984/2a235478874f/sensors-25-03835-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d10c/12196984/84de91039fd9/sensors-25-03835-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d10c/12196984/0886f3f1565f/sensors-25-03835-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d10c/12196984/36ee522560be/sensors-25-03835-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d10c/12196984/6e9235957e4b/sensors-25-03835-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d10c/12196984/1b302c14cdad/sensors-25-03835-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d10c/12196984/ad8d42c12d85/sensors-25-03835-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d10c/12196984/8a07337394f7/sensors-25-03835-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d10c/12196984/59fabb3b0046/sensors-25-03835-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d10c/12196984/21d7d68cd481/sensors-25-03835-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d10c/12196984/21b045c37978/sensors-25-03835-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d10c/12196984/9dd53ee1685e/sensors-25-03835-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d10c/12196984/2a235478874f/sensors-25-03835-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d10c/12196984/84de91039fd9/sensors-25-03835-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d10c/12196984/0886f3f1565f/sensors-25-03835-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d10c/12196984/36ee522560be/sensors-25-03835-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d10c/12196984/6e9235957e4b/sensors-25-03835-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d10c/12196984/1b302c14cdad/sensors-25-03835-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d10c/12196984/ad8d42c12d85/sensors-25-03835-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d10c/12196984/8a07337394f7/sensors-25-03835-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d10c/12196984/59fabb3b0046/sensors-25-03835-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d10c/12196984/21d7d68cd481/sensors-25-03835-g012.jpg

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