Paper
16 February 2011 Sensor performance improvements for high-quality low-cost imaging systems in ophthalmic applications
Andrei Plaian, Marco D'Aguanno, Paola Griggio
Author Affiliations +
Abstract
CMOS sensors used in high-quality imaging systems of human eye require subtraction of the fixed pattern noise (FPN) to increase the signal to noise ratio (SNR). In this paper, we evaluated the efficiency of the FPN subtraction as a function of temperature (in the range from +70°C to -50°C) and integration time (from 12.5 to 287.5 ms) for a low-cost commercial CMOS sensor. We also compared the quality of the photos taken at different sensor temperatures on a phantom and on voluntary subjects. The experimental set-up includes a modified fundus camera for retinal examination (Centervue SpA, Italy) equipped with a 5Mpixel CMOS sensor and a temperature regulation system. The problem of water condensation on the sensor surface at low temperatures was overcome by using an original sensor sealing method.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andrei Plaian, Marco D'Aguanno, and Paola Griggio "Sensor performance improvements for high-quality low-cost imaging systems in ophthalmic applications", Proc. SPIE 7894, Optical Fibers, Sensors, and Devices for Biomedical Diagnostics and Treatment XI, 789407 (16 February 2011); https://doi.org/10.1117/12.873834
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KEYWORDS
Sensors

CMOS sensors

Signal to noise ratio

Cameras

Imaging systems

Temperature metrology

Retina

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