摘要
研究流式细胞仪样本检测数据的荧光光谱重叠补偿问题。针对全矩阵补偿算法中补偿矩阵参数的获取,提出了一种使用多变量系统的递推最小二乘算法辨识补偿矩阵参数的方法。在全矩阵补偿方法的基础上,用单染色荧光光谱线性和对多染色荧光实际测量光谱进行近似,并使用多变量系统的递推最小二乘算法辨识系统参数获得补偿矩阵的元素。仿真结果表明,利用多变量系统的递推最小二乘算法进行荧光补偿与一般最小二乘算法相比,补偿结果的CV值相对误差在2%以内,进而验证了所采用的算法的有效性与可行性。
Compensation for spectral overlap is always necessary in multicolor flow cytometric analysis. The paper presented a new method for spectral compensation matrix parameters based on recursive least squares algorithm of Multi-Input Multi-Output （MIMO） system. On the basis of full matrix compensation method, we used single fluores- cence and approximated the multi- fluorescence spectral. The Recursive Least Squares Algorithm （RLSA） was ap- plied to obtain the parameters of compensation matrix. The simulation results show that compared with the Least Squares Algorithm, the relative error of CV value is within 2%. It can be concluded that using the RI_,SA can improve the accuracy and obtain better compensation results.
出处
《计算机仿真》
CSCD
北大核心
2015年第5期252-255,289,共5页
Computer Simulation
基金
北京市属高等学校创新团队建设与教师职业发展计划项目资助(IDHT20130518)
长江学者与创新团队发展计划项目资助(IRT1212)
关键词
流式细胞仪
荧光补偿
递推最小二乘算法
参数辨识
Flow cytometer
Fluorescence compensation
Recursive least squares algorithm
Parameter identification
