Director of Research (if dissertation) or Advisor (if thesis)
Gruev, Viktor
Department of Study
Electrical & Computer Eng
Discipline
Electrical & Computer Engr
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
CMOS Image Sensors
Biomedical Sensors
NIR Imaging
Analog Circuit Design
Sensor Design
Noise
Abstract
Cancer remains a pervasive problem in public health with surgery serving as the primary care option. Fluorescence image-guided surgery has been explored to aid surgeons identify specific tissue in the patient during operations but these systems tend to interfere with workflow. CMOS image sensors have been explored as a solution because of their high performance, low noise and small footprint. Reducing the noise floor on CMOS image sensors makes it possible to develop a general image sensor that can be used for several low light imaging applications. Achieving low noise performance requires minimal noise injection from the sensor system as well as an image sensor architecture that suppresses noise at the pixel level. The standard pixel architecture suffers from several sources of noise which can be alleviated at the expense of sensor performance. By modifying the behavior of the photo-active component, several sources of noise can be removed.
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