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Title: | 表面電漿子共振感測器之自動化角度掃描式影像分析系統 Automatic Calibration and Control for Angular Scanning based Imaging Surface Plasmon Resonance System |
Authors: | Chen-Hsuan Hsia 夏晨軒 |
Advisor: | 林啟萬(Chii-Wann Lin) |
Keyword: | 表面電漿子共振,生物感測器,自動化角度掃描演算法,自動化感測器校正演算法, surface plasmon resonance,biosensor,automatic angular scanning algorithm,automatic sensor performance calibration algorithm, |
Publication Year : | 2019 |
Degree: | 碩士 |
Abstract: | 表面電漿子共振(surface plasmon resonance, SPR)生物感測器,利用光激發金屬層表面的電子產生共振,觀察在金屬膜層上的樣品分子折射率變化,此偵測方式具有高靈敏度(high-sensitivity)以及即時性(real-time),常用於快速檢測生物化學分子。為了滿足表面電漿共振的條件,除了有良好的光學架構的設計以及表面金屬膜層的條件,選定入射光角度的選定成為激發表面電漿共振現象的一大課題。感測器架構的自動化可排除傳統上人工手動角度調變及肉眼觀察晶片影像的光訊號誤差。因此本論文利用微步電動步進馬達(stepper motor)線性滑軌模組作為角度掃描的控制模組,不僅能提高精度至五倍到十倍,再配合系統流程的演算法結合影像式表面電漿子共振感測器架構,系統會在角度掃描的同時紀錄收集到的光強度訊號,並透過系統演算法自動計算及判斷最佳表面電漿子共振感測器量測角,並使馬達自動定位。
在影像式表面電漿子共振架構下,晶片表面的折射率變化是造成訊號改變的來源,但影響光強度訊號變化的不只有折射率變化,還包括金膜厚度、入射光準直以及系統雜訊。為了消弭感測器上的不均質性,本研究結合自動化感測器校正演算法,自動記錄並計算校正溶液所量測出感測器的響應係數(response coefficient),讓相機量測到的光強度訊號校正回晶片表面的樣品折射率變化。透過上述兩種演算法,能實質提高感測器實驗再現性以及高通量性。 Surface plasmon resonance biosensor, which observes the optical signals change by the surface plasmon between the metal film and the dielectric medium. Detection of the SPR biosensor have several advantages such as high sensitivity and real-time detection. Mentioned of these pros, they are often used to quickly detect biochemical molecules. In order to generate surface plasmon resonance, in addition to a good optical architecture, the angle of incident light becomes a major issue in imaging SPR biosensor. An automation of the sensor architecture eliminate the error caused by manual angular modulation and the optical observing by naked eye. Therefore, we use the micro-stepper motor as the control module of angular scanning system and cooperate with a system algorithm , which can not only improve the accuracy by ten times, but also improve experiment efficient. The system records the light intensity signal at the same time as the angle scan, and automatically analyze the best sensor measurement angle. It will finish motor positioning when the sensor measurement angle was analyzed. Different samples have variant refractive index, which cause the optical signals had changed. Though the change of refractive index is the source of signal, the thickness of metal film, collimation of the incident light and the system miscellaneous also affect the optical signal. To eliminate the heterogeneity on the sensor, we combines the automatic sensor performance calibration algorithm. Analyzing the response coefficient which can reflect the sensitivity of sensor performance to correct the light intensity to the refractive index change of the sample on sensor. With the above of two algorithms, the sensor reproducibility and high throughput can be substantially improved. |
URI: | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/74594 |
DOI: | 10.6342/NTU201901801 |
Fulltext Rights: | 有償授權 |
Appears in Collections: | 醫學工程學研究所 |
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ntu-108-1.pdf Restricted Access | 4.28 MB | Adobe PDF |
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