A SOC Image Detection System for Nanoparticle Scattering and Surface Plasmon Resonance
|Keywords:||奈米粒子;散射效應;表面電漿共振;可程式化邏輯閘;CMOS影像感測器;Nanoparticle;Scattering;Surface Plasmon Resonance;Field Programmable Gate Array;CMOS Image Sensor||Issue Date:||2006||Abstract:||
The goal of this study is to develop a high throughput and portable biomolecules detecting system. Discussions of the detecting theory, circuit design, and the analysis algorithm are disclosed respectively. In related circuit tests and detecting experiments, the measurement of the scattering optical signals which emitted from various sizes of gold nanoparticles through CMOS image sensor (CIS), field programmable gate array (FPGA) emulation board, and video display circuit system had successfully achieved. Thus there is the preliminary verification for this detection system structure.
Biomolecules labeled with nanoparticles are able to be used as the reacted samples for biochip image scanning. By detecting the light intensity of nanoparticles scattering on the surface of biochip, it can distinguish the hybridization efficiency of target and probe regarding to relative gene or protein. Several detection methods have been provided in recent studies, to minimize and to integrate system on a single chip already has been implemented and the feasibility and validity have been proven. This study focuses on the light detection approach. The nanoparticles scattering light detection has the advantage of high throughput and is compatible with conventional fluorescence dye labeling method; however the detection is not excited by laser beam and received by photo multiplier tube. The optical signal comes from the evanescent wave induced surface plasmon resonance and observing is allowed by means of transmission, reflection and scattering .
The system utilized to capture image includes a CIS module as the light receiving device. After catching the light signal generated by nanoparticles scattering, CIS transfers the light intensity to digital signals and transmits to FPGA to do the processing of calculation and display. Another experimental setup uses a commercial web camera to analyze the characteristics of image sensor in biochip application. The specification of web camera is 300K pixel resolution and this camera connects to personal computer by USB interface. The image analysis is done by software and already can identify the differences between various size nanoparticles through light intensity and color ratio.
|Appears in Collections:||電機工程學系|
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