MOS Capacitor Deep Trench Isolation for CMOS image sensors

Author(s):  
N. Ahmed ◽  
F. Roy ◽  
G-N. Lu ◽  
B. Mamdy ◽  
J-P. Carrere ◽  
...  
Sensors ◽  
2020 ◽  
Vol 20 (1) ◽  
pp. 287
Author(s):  
Célestin Doyen ◽  
Stéphane Ricq ◽  
Pierre Magnan ◽  
Olivier Marcelot ◽  
Marios Barlas ◽  
...  

A new methodology is presented using well known electrical characterization techniques on dedicated single devices in order to investigate backside interface contribution to the measured pixel dark current in BSI CMOS image sensors technologies. Extractions of interface states and charges within the dielectric densities are achieved. The results show that, in our case, the density of state is not directly the source of dark current excursions. The quality of the passivation of the backside interface appears to be the key factor. Thanks to the presented new test structures, it has been demonstrated that the backside interface contribution to dark current can be investigated separately from other sources of dark current, such as the frontside interface, DTI (deep trench isolation), etc.


2014 ◽  
Vol 605 ◽  
pp. 453-456
Author(s):  
Nayera Ahmed ◽  
Guo Neng Lu ◽  
François Roy

We have investigated Total Ionizing Dose (TID) effects on a 1.4μm-pitch, Deep-Trench Isolation (DTI) CMOS image sensor for its use in radiation environment. Our investigation includes characterization and TCAD simulations (with parametric modeling) of the image sensor before and after irradiation with 60Co gamma rays source for TID from 3 to 100 Krad. We have obtained agreements between measured results and simulated ones on degradations of the characteristics Quantum Efficiency (QE) and dark current (Idark). The agreements validate our modeling and simulation approach to evaluating these characteristics. It has been shown that TID causes evolution of interface states of different parts of the pixel, which are responsible for QE and Idark degradations. TID effects on different parts of the pixel can be identified and quantified.


Author(s):  
Peter Pegler ◽  
N. David Theodore ◽  
Ming Pan

High-pressure oxidation of silicon (HIPOX) is one of various techniques used for electrical-isolation of semiconductor-devices on silicon substrates. Other techniques have included local-oxidation of silicon (LOCOS), poly-buffered LOCOS, deep-trench isolation and separation of silicon by implanted oxygen (SIMOX). Reliable use of HIPOX for device-isolation requires an understanding of the behavior of the materials and structures being used and their interactions under different processing conditions. The effect of HIPOX-related stresses in the structures is of interest because structuraldefects, if formed, could electrically degrade devices.This investigation was performed to study the origin and behavior of defects in recessed HIPOX (RHIPOX) structures. The structures were exposed to a boron implant. Samples consisted of (i) RHlPOX'ed strip exposed to a boron implant, (ii) recessed strip prior to HIPOX, but exposed to a boron implant, (iii) test-pad prior to HIPOX, (iv) HIPOX'ed region away from R-HIPOX edge. Cross-section TEM specimens were prepared in the <110> substrate-geometry.


Sensors ◽  
2019 ◽  
Vol 19 (24) ◽  
pp. 5459
Author(s):  
Wei Deng ◽  
Eric R. Fossum

This work fits the measured in-pixel source-follower noise in a CMOS Quanta Image Sensor (QIS) prototype chip using physics-based 1/f noise models, rather than the widely-used fitting model for analog designers. This paper discusses the different origins of 1/f noise in QIS devices and includes correlated double sampling (CDS). The modelling results based on the Hooge mobility fluctuation, which uses one adjustable parameter, match the experimental measurements, including the variation in noise from room temperature to –70 °C. This work provides useful information for the implementation of QIS in scientific applications and suggests that even lower read noise is attainable by further cooling and may be applicable to other CMOS analog circuits and CMOS image sensors.


Author(s):  
Jing Fu ◽  
Jie Feng ◽  
Yu-Dong Li ◽  
Qi Guo ◽  
Ying Wei ◽  
...  

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