流式细胞仪脉冲补偿恢复算法研究

Study of Multiple Algorithms about Pulse Compensation

摘要:

流式细胞仪数据采集过程中,触发阈值的设定导致脉冲信号信息完整性的缺失,从而造成后续脉冲参数提取误差增大；针对以上问题,根据流式细胞仪脉冲信号类高斯特性,利用MATLAB分别采用斜线法、高斯拟合法、抛物线法以及灰色预测法对阈值以下的脉冲缺失信息进行补偿恢复；同时,分别对4种方法补偿恢复后的脉冲进行脉冲峰值、脉宽、脉冲面积3个参数的提取,并进行误差比对；仿真结果表明,触发阈值的设定主要对脉宽及脉冲面积产生影响；灰色预测法的脉冲补偿恢复误差最小,可用于流式细胞仪底层在线脉冲补偿恢复。

Abstract:

In flow cytometer (FCM) researching field, pulse parameters (width, peak, area, etc.) extraction plays important role for particle information post-processing. According to principle of the flow cytometer, special circuit is designed to collect the pulses, and the threshold is used to trigger effective signal catching and parameters calculating. The measurement accuracy is affected by the information missing below system threshold. In order to improve system performance, pulse predicting algorithms are introduced in this paper. Three parameters by recovering are extracted and compared with the parameters of the signal obtained before the restoration.