本文選題：智能手機(jī)　切入點(diǎn)：LSPR　出處：《中央民族大學(xué)》2016年碩士論文　論文類(lèi)型：學(xué)位論文

【摘要】：面對(duì)癌癥患者早期診斷的困境時(shí),LSPR檢測(cè)技術(shù)憑借其界面效應(yīng)、無(wú)標(biāo)記、實(shí)時(shí)和無(wú)污染檢測(cè)的優(yōu)勢(shì),得到了廣泛關(guān)注。與此同時(shí),隨著在線醫(yī)療、家庭診斷和快速檢測(cè)等移動(dòng)醫(yī)療理念的興起,智能手機(jī)逐漸發(fā)展成LSPR生化傳感檢測(cè)的一個(gè)有效平臺(tái)。近期,印度科研工作者首次推出了一款基于智能手機(jī)的LSPR生化傳感檢測(cè)系統(tǒng),即通過(guò)智能手機(jī)圖像傳感器獲取LSPR檢測(cè)數(shù)據(jù)。雖然,該系統(tǒng)能滿(mǎn)足癌癥早期檢測(cè)與移動(dòng)性的基本需求;但是處理比較耗時(shí),并且檢測(cè)精度不高。于是,本文提出了一套智能手機(jī)便攜式LSPR生化傳感檢測(cè)方案。首先利用專(zhuān)業(yè)光譜儀獲取高精度的檢測(cè)數(shù)據(jù),然后再通過(guò)智能手機(jī)USB接口迅速采集光譜數(shù)據(jù),最后及時(shí)準(zhǔn)確地展示LSPR檢測(cè)結(jié)果。本方案在保證LSPR生化檢測(cè)的準(zhǔn)確性與便捷性前提下,不僅較好地解決了上述問(wèn)題,而且提供了一個(gè)良好的Android應(yīng)用平臺(tái)。本文貢獻(xiàn)如下：(1)檢測(cè)系統(tǒng)硬件平臺(tái)的構(gòu)建與實(shí)現(xiàn)根據(jù)生化傳感檢測(cè)系統(tǒng)的硬件平臺(tái)設(shè)計(jì),光譜儀在檢測(cè)系統(tǒng)與智能手機(jī)之間發(fā)揮紐帶作用。本文在不修改光譜儀內(nèi)核驅(qū)動(dòng)前提下,先開(kāi)發(fā)出一款光譜儀USB免驅(qū)動(dòng)靜態(tài)庫(kù),再通過(guò)NDK技術(shù)將該庫(kù)編譯成Arm平臺(tái)的動(dòng)態(tài)庫(kù)。最后實(shí)現(xiàn)智能手機(jī)通過(guò)該動(dòng)態(tài)庫(kù)及時(shí)地采集光譜數(shù)據(jù)。(2)檢測(cè)系統(tǒng)軟件的設(shè)計(jì)與實(shí)現(xiàn)。為滿(mǎn)足檢測(cè)系統(tǒng)良好的交互使用特性,設(shè)計(jì)并實(shí)現(xiàn)一款操作簡(jiǎn)單、功能完備和界面友好的Android應(yīng)用。該程序按照軟件項(xiàng)目管理流程實(shí)現(xiàn)。首先從功能、界面和性能需求角度進(jìn)行軟件需求分析。再通過(guò)用戶(hù)界面設(shè)計(jì)、數(shù)據(jù)庫(kù)設(shè)計(jì)和程序模塊設(shè)計(jì)達(dá)到程序設(shè)計(jì)的目的。最后實(shí)現(xiàn)軟件功能模塊,包含用戶(hù)界面、實(shí)時(shí)數(shù)據(jù)、本地?cái)?shù)據(jù)和數(shù)據(jù)存儲(chǔ)轉(zhuǎn)發(fā)四個(gè)模塊。(3)光譜數(shù)據(jù)的采集與曲線擬合。獲取到的光譜數(shù)據(jù),是以二維坐標(biāo)點(diǎn)(波長(zhǎng),光譜強(qiáng)度)的形式保存。繪制LSPR生化檢測(cè)曲線時(shí),以一條平滑的曲線展示給用戶(hù)。本文從最小二乘法曲線、基于RBF曲線和三次樣條曲線擬合算法中分析對(duì)比發(fā)現(xiàn),三次樣條曲線擬合算法更適合處理光譜離散點(diǎn)。并能通過(guò)擬合函數(shù),求解指定范圍內(nèi)的極值點(diǎn)。該點(diǎn)為L(zhǎng)SPR生化檢測(cè)消光峰波長(zhǎng)位置。(4) LSPR檢測(cè)系統(tǒng)軟件測(cè)試和應(yīng)用研究。系統(tǒng)軟件開(kāi)發(fā)完畢后,進(jìn)行了詳細(xì)的軟件測(cè)試。主要利用黑盒測(cè)試對(duì)軟件界面、交互功能和軟件性能進(jìn)行全方位測(cè)試。通過(guò)測(cè)試發(fā)現(xiàn),該軟件符合應(yīng)用需求。同時(shí),LSPR檢測(cè)系統(tǒng)應(yīng)用于納米粒子消光譜和肝病毒生化檢測(cè)。系統(tǒng)檢測(cè)精度非常高�？傊�,本文的創(chuàng)新點(diǎn)在于,根據(jù)LSPR生化檢測(cè)的現(xiàn)狀,提出了一套完整的基于Android智能手機(jī)的LSPR生化傳感檢測(cè)方案。首先,設(shè)計(jì)與實(shí)現(xiàn)了該系統(tǒng)的軟硬件平臺(tái)；其次,通過(guò)了全面的軟件測(cè)試。最后,將該系統(tǒng)成功應(yīng)用于納米粒子和肝病毒的LSPR檢測(cè),其檢測(cè)精度和靈敏度符合預(yù)期。
[Abstract]:In the face of the dilemma of early diagnosis of cancer patients, LSPR detection technology has gained wide attention because of its advantages of interface effect, non-marking, real-time and pollution-free detection. With the rise of mobile medical concepts such as home diagnosis and rapid detection, smart phones have gradually developed into an effective platform for LSPR biochemical sensing. For the first time, Indian researchers have developed a smartphone based LSPR biochemical sensing system, which uses smart phone image sensors to obtain LSPR detection data, although the system can meet the basic needs of early detection and mobility of cancer. However, the processing is time-consuming and the detection accuracy is not high. Therefore, this paper proposes a set of portable LSPR biochemical sensing detection scheme for smart phones. Firstly, a professional spectrometer is used to obtain high precision detection data. Then the spectral data are collected quickly through the USB interface of smart phone, and the results of LSPR detection are displayed in time and accurately. This scheme not only solves the above problems well, but also ensures the accuracy and convenience of LSPR biochemical detection. In addition, a good Android application platform is provided. This paper contributes as follows: 1) the construction and implementation of the hardware platform of the detection system according to the design of the hardware platform of the biochemical sensing system. The spectrometer plays a role as a link between the detection system and the smart phone. In this paper, we develop a spectrometer USB driver free static library without modifying the drive of the spectrometer kernel. Then the library is compiled into the dynamic library of Arm platform by NDK technology. Finally, the design and implementation of the software of smart phone detecting system, which can collect spectrum data in time by this dynamic library, is realized. In order to satisfy the good interactive characteristics of the detection system, the software is designed and implemented. Design and implement a Android application with simple operation, complete function and friendly interface. The program is implemented according to the software project management flow. Firstly, the software requirement analysis is carried out from the aspects of function, interface and performance requirements. Database design and program module design to achieve the purpose of programming. Finally, the realization of the software functional module, including the user interface, real-time data, Acquisition and curve fitting of local data and data storage and forwarding four modules. The acquired spectral data are preserved in the form of two-dimensional coordinate points (wavelength, spectral intensity). When drawing the LSPR biochemical detection curve, This paper presents a smooth curve to the user. This paper analyzes and compares the least square curve, based on RBF curve and cubic spline curve fitting algorithm. The cubic spline curve fitting algorithm is more suitable to deal with spectral discrete points. To solve the extreme point in the specified range. This point is the wavelength position of LSPR biochemical detection extinction peak. 4) the software test and application research of LSPR detection system. After the system software development, The software interface, interaction function and software performance are tested with black box test. The software meets the requirements of application. At the same time, the LSPR detection system is applied to the detection of nano-particle elimination spectrum and liver virus biochemistry. The accuracy of the system is very high. In a word, the innovation of this paper lies in the fact that according to the present situation of LSPR biochemical detection, A complete LSPR biochemical sensing detection scheme based on Android smart phone is proposed. Firstly, the hardware and software platform of the system is designed and implemented. The system has been successfully applied to the LSPR detection of nanoparticles and liver viruses, and its detection accuracy and sensitivity are in line with expectations.
【學(xué)位授予單位】：中央民族大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類(lèi)號(hào)】：TP274;R730.4

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