本文選題：熒光免疫 + 數(shù)據(jù)處理��； 參考：《中國科學技術(shù)大學》2009年碩士論文

【摘要】： 20世紀中葉以來,一系列的免疫分析技術(shù)被逐漸創(chuàng)立,免疫分析技術(shù)是生物醫(yī)學領(lǐng)域中的新方法。其特點是高特異性、高靈敏度,分析費用低廉,操作簡便,被廣泛應用于醫(yī)學和生物學研究領(lǐng)域。 免疫分析技術(shù)主要包括放射免疫、酶免疫、時間分辨率熒光免疫、化學發(fā)光免疫等。本文通過介紹免疫分析技術(shù)的發(fā)展和學術(shù)背景,對各種免疫分析進行調(diào)研,了解各分析技術(shù)的原理、應用及存在的優(yōu)缺點。 文章介紹了酶免疫熒光分析儀的總體結(jié)構(gòu)、各組成部分及其功能。介紹了酶免疫熒光分析中廣泛應用的數(shù)據(jù)處理方式,主要包括多項式擬合、log-logit擬合、三次樣條插值法擬合、四參數(shù)和五參數(shù)logistic擬合,并詳細介紹了這幾種擬合方式的數(shù)學模型、擬合算法及在編寫擬合程序中所遇到的一系列問題和解決方法。在數(shù)據(jù)處理的程序設(shè)計部分,介紹酶免疫熒光分析儀的幾種擬合方法程序的程序編寫、數(shù)據(jù)庫的程序編寫及初始顯示界面的程序編寫,詳細的給出了程序的流程圖、程序代碼和采用不同的擬合程序所得到的擬合結(jié)果。其中著重對四、五參數(shù)logistic擬合的程序作了穩(wěn)定性研究,研究在數(shù)據(jù)處理過程中四、五參數(shù)logistic擬合的穩(wěn)定性,得出在變化范圍不超過10%時,程序能很好的反應數(shù)據(jù)的走向,但當數(shù)據(jù)變化范圍超過30%時,五參數(shù)擬合優(yōu)度顯著變劣,迭代次數(shù)顯著增加,得到的曲線已經(jīng)不能反映測量結(jié)果了。最后對工作完成情況做了相應的總結(jié),指出了還未完成的部分和需要改進的部分。
[Abstract]:Since the middle of the 20th century, a series of immunoassay techniques have been gradually established, and immunoassay is a new method in biomedical field.It is characterized by high specificity, high sensitivity, low cost and simple operation, so it is widely used in medical and biological research fields.Immunoassay techniques mainly include radioimmunity, enzyme immunity, time resolution fluorescence immunity, chemiluminescence immunity and so on.In this paper, the development and academic background of immunoassay are introduced, and the principle, application, advantages and disadvantages of each analysis technique are investigated.In this paper, the structure, components and functions of enzyme immunofluorescence analyzer are introduced.This paper introduces the widely used data processing methods in enzyme immunofluorescence analysis, mainly including polynomial fitting log-logit fitting, cubic spline interpolation, four-parameter and five-parameter logistic fitting, and the mathematical models of these fitting methods are introduced in detail.Fitting algorithm and a series of problems and solutions in programming fitting program.In the part of program design of data processing, the programming of several fitting methods of enzyme immunofluorescence analyzer, the programming of database and the program of initial display interface are introduced, and the flow chart of the program is given in detail.The program code and the results obtained by using different fitting programs.The stability of logistic fitting program with four and five parameters is studied, and the stability of logistic fitting with four and five parameters in the process of data processing is studied. It is concluded that the program can well reflect the trend of data when the range of variation is less than 10.But when the variation range of the data exceeds 30, the goodness of fit of the five parameters becomes worse and the iteration times increase significantly. The obtained curve can no longer reflect the measured results.Finally, the paper summarizes the work, points out the unfinished parts and the parts that need to be improved.
【學位授予單位】：中國科學技術(shù)大學
【學位級別】：碩士
【學位授予年份】：2009
【分類號】：R392.1

【參考文獻】

相關(guān)期刊論文 前6條

1 李振甲;酶免疫分析技術(shù)研究進展[J];標記免疫分析與臨床;1998年04期

2 石柱鮮;黃紅梅;劉俊生;牟曉云;王立勇;;2007年我國經(jīng)濟周期波動分析與主要宏觀經(jīng)濟指標的預測——利用Logistic回歸模型的分析[J];數(shù)量經(jīng)濟技術(shù)經(jīng)濟研究;2007年06期

3 張國龍;陳景武;;醫(yī)學研究中Logistic回歸與其他方法的結(jié)合應用[J];數(shù)理醫(yī)藥學雜志;2007年06期

4 車慶林,彭孝軍;熒光免疫分析用染料及其研究進展[J];現(xiàn)代化工;1998年02期

5 劉銳克,孫桂寬,劉湛;放射免疫分析法[J];中國藥物依賴性通報;1994年03期

6 李振甲;國內(nèi)外標記免疫分析技術(shù)研究現(xiàn)狀[J];中華醫(yī)學檢驗雜志;1999年05期

，

本文編號：1772256