학술논문

Pixel-Parallel Three-Layer Stacked CMOS Image Sensors Using Double-Sided Hybrid Bonding of SOI Wafers
Document Type
Periodical
Source
IEEE Transactions on Electron Devices IEEE Trans. Electron Devices Electron Devices, IEEE Transactions on. 70(9):4705-4711 Sep, 2023
Subject
Components, Circuits, Devices and Systems
Engineered Materials, Dielectrics and Plasmas
Sensors
Bonding
Gold
Image sensors
Electrodes
Silicon
Sensor phenomena and characterization
3-D integrated circuits
analog-to-digital converters (ADCs)
damascene integration
image sensors
silicon-on-insulator (SOI)
wafer bonding
Language
ISSN
0018-9383
1557-9646
Abstract
This study reports pixel-parallel three-layer stacked complementary metal–oxide–semiconductor image sensors developed for the first time. The hybrid bonding of silicon-on-insulator (SOI) wafers with Au electrodes embedded in SiO2 surfaces enabled face-to-back as well as face-to-face bonding, facilitating multilayer stacking, and pixel-parallel signal processing. A three-layered pixel, comprising a photodiode (PD), pulse generation circuit, and counters, served as analog-to-digital converters (ADCs), reducing its size in comparison to conventional two-layered sensors. In addition, wafer bonding introduced a thin Si layer as a bonding medium, thereby ensuring bonding strength and achieving alignment accuracy of less than $1~{\mu } \text{m}$ for the entire area of 8-in wafers. The developed three-layered pixel circuit demonstrated a linear response of 16-bit digital signal output. A prototype sensor with a quarter–quarter video graphics array (QQVGA) successfully captured video images. The results revealed the feasibility of multilayered sensors with high-performance characteristics, such as high resolution, high speed, and wide dynamic range, as well as multiple functionalities, including signal processing, memory, and computation. The developed 3-D integration technology can enhance sensor applications, ranging from high-quality video cameras, recognition, automotive systems, robots, and measurements to various Internet-of-Things devices.