Variable optical filters for enhanced image sensor performance

2012 ◽  
Author(s):  
Michael Schmid
Keyword(s):  
Optical Filters ◽  
Image Sensor ◽  
Sensor Performance

Influence of Transparent Electrodes on Image Sensor Performance

1985 ◽  
Vol 49 ◽  
Author(s):  
K. Kempter ◽  
H. Wieczrek ◽  
M. Hoheisel
Keyword(s):  
Response Times ◽  
Image Sensor ◽  
Image Sensors ◽  
Transparent Electrodes ◽  
Sensor Performance ◽  
Decay Times ◽  
Sensor Cell ◽  
Photocurrent Decay

AbstractThe short response times required for image sensors demand blocking contacts at the sensor cell. It was found that the junctions between transparent electrodes (ITO or a thin palladium film) and the metallic back electrode with a-Si:H form blocking contacts yielding photocurrent decay times of the order of some microseconds. The two different time regimes observed for the decay are interpreted as being limited by the drift and the release of holes respectively.

Degradation mechanism of star sensor performance caused by radiation damage of CMOS image sensor

2020 ◽  
Vol 49 (5) ◽  
pp. 20190555
Author(s):  
冯婕 Jie Feng ◽  
李豫东 Yudong Li ◽  
文林 Lin Wen ◽  
郭旗 Qi Guo
Keyword(s):  
Radiation Damage ◽  
Degradation Mechanism ◽  
Cmos Image Sensor ◽  
Image Sensor ◽  
Star Sensor ◽  
Sensor Performance

High Fill Factor a-Si:H Sensor Arrays with Reduced Pixel Crosstalk

2008 ◽  
Vol 1066 ◽  
Author(s):  
Yuriy Vygranenko ◽  
A. Sazonov ◽  
D. Striakhilev ◽  
J. H. Chang ◽  
G. Heiler ◽  
...  
Keyword(s):  
Fill Factor ◽  
Sensor Arrays ◽  
Image Sensor ◽  
Low Noise ◽  
Active Matrix ◽  
Interlayer Dielectric ◽  
Sensor Performance ◽  
Data Line ◽  
High Fill Factor ◽  
Low K

ABSTRACTIn this paper, we report on low noise, high fill factor amorphous silicon (a-Si:H) image sensor structures for indirect radiography. Two types of the sensor arrays comprising n-i-p photodiodes and m-i-s photosensors have been fabricated. The device prototypes contain 100 × 100 pixels, with a pixel pitch of 139 μm. The active-matrix addressing is provided by low off-current TFTs. The sensors are vertically integrated onto the TFT-backplane, by implementing a 3-μm-thick low-k interlayer dielectric. This dielectric layer serves to reduce the data line capacitance and to planarize underlying topography. The detector was designed for reduced data-line resistance and parasitic coupling. Details of the device design and fabrication, along with sensor performance characteristics, are presented and discussed.

scholarly journals A Spectral Filter Array Camera for Clinical Monitoring and Diagnosis: Proof of Concept for Skin Oxygenation Imaging

2019 ◽  
Vol 5 (8) ◽  
pp. 66 ◽  
Author(s):  
Jacob Renzo Bauer ◽  
Arnoud A. Bruins ◽  
Jon Yngve Hardeberg ◽  
Rudolf M. Verdaasdonk
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Optical Filters ◽  
Image Sensor ◽  
Clinical Applications ◽  
Proof Of Concept ◽  
Spectral Filter ◽  
Burn Wound ◽  
Processing Pipeline ◽  
Filter Array

The emerging technology of spectral filter array (SFA) cameras has great potential for clinical applications, due to its unique capability for real time spectral imaging, at a reasonable cost. This makes such cameras particularly suitable for quantification of dynamic processes such as skin oxygenation. Skin oxygenation measurements are useful for burn wound healing assessment and as an indicator of patient complications in the operating room. Due to their unique design, in which all pixels of the image sensor are equipped with different optical filters, SFA cameras require specific image processing steps to obtain meaningful high quality spectral image data. These steps include spatial rearrangement, SFA interpolations and spectral correction. In this paper the feasibility of a commercially available SFA camera for clinical applications is tested. A suitable general image processing pipeline is proposed. As a ’proof of concept’ a complete system for spatial dynamic skin oxygenation measurements is developed and evaluated. In a study including 58 volunteers, oxygenation changes during upper arm occlusion were measured with the proposed SFA system and compared with a validated clinical device for localized oxygenation measurements. The comparison of the clinical standard measurements and SFA results show a good correlation for the relative oxygenation changes. This proposed processing pipeline for SFA cameras shows to be effective for relative oxygenation change imaging. It can be implemented in real time and developed further for absolute spatial oxygenation measurements.

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