Actual cell real-time quantitative analysis programming method and operation method of program

According to an embodiment of the present invention, the present invention includes: a step of selecting an independent variable for the efficiency of PMA treatment, and making an experiment plan including an experiment set to build a multistep reaction surface model to prepare a reaction surface pl...

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Bibliographic Details
Main Authors KIM YOUNG MO, KIM BUM JO, CHOI SANG KI, LEE YUN HO, KIM JOON HA
Format Patent
LanguageEnglish
Korean
Published 09.05.2019
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Summary:According to an embodiment of the present invention, the present invention includes: a step of selecting an independent variable for the efficiency of PMA treatment, and making an experiment plan including an experiment set to build a multistep reaction surface model to prepare a reaction surface plan; a reaction surface analysis step of measuring a dependent variable with a real-time PCR result value in accordance with an experiment trial from the experiment set, and inputting the independent variable and the dependent variable to derive an optimal reaction condition with a reaction optimizer based on reaction surface regression analysis; and a step of pattern-researching the optimal reaction condition through a numerical analysis and programming environment (MATLAM), and building a user interface by comparing a result value of the built model to an experiment value. The reaction optimizer calculates the independent variable by deriving a reaction condition of a maximum value of the dependent variable when the dependent variable becomes maximum. Therefore, the present invention is capable of improving the efficiency of detecting activated cells in real time. 본 발명의 일실시예에 따른 PMA 처리 효율성을 위한 독립변수를 채택하고, 실험 세트(set)를 구비한 실험계획을 작성하여 다수차 반응표면 모형을 구축하여 반응표면계획을 마련하는 단계, 상기 실험 세트로부터 실험 트라이얼(trial)에 따른 실시간 PCR 결과값으로 종속변수를 측정하고, 상기 종속변수와 상기 독립변수를 입력하여 반응표면 회귀분석을 바탕으로 반응 옵티마이저를 사용하여 최적 반응 조건을 도출하는 반응표면분석 단계 및 상기 최적 반응 조건을 Matlab(수치해석 및 프로그램밍 환경)을 통한 전역 최적화식 설계(Pattern Reaserch)하고, 구축된 모델의 결과 값과, 실험 값을 비교하여 사용자 인터페이스를 구축하는 단계를 포함하고, 상기 반응 옵티마이저는, 상기 종속변수가 최대일 때의 상기 종속변수의 최대 값의 반응 조건 도출하여 상기 독립변수를 계산한다.
Bibliography:Application Number: KR20170142752