摘要
针对传统基线恢复方法难以应对流式细胞仪高精度、超快速细胞数据分选任务的问题,提出并设计了新型的解决方案。首先,分析了传统基线恢复电路实现基线恢复的原理,根据流式细胞仪的系统要求对其电路进行优化设计;其后,通过对模拟电路传递函数进行分析,设计了与模拟电路级联的数字信号处理系统,修正了模拟电路对脉冲信号产生的失真,提高了流式细胞仪对脉冲特征参量的采样精度。通过实验验证,设计方案可实现4~8μs脉冲宽度高斯脉冲信号的快速基线恢复,并且对不同脉宽信号的面积、峰值特征参量采样误差均小于1%。
Aiming at the problem that traditional baseline restoration method is difficult to cope with the high accuracy and super high speed cellular data sorting task of flow cytometer,a new solution scheme is proposed and designed in this paper. Firstly,the working principle of traditional baseline restoration circuit realizing baseline restoration is analyzed,and the circuit is optimized according to the system requirements of the flow cytometer. Subsequently,through analyzing the transfer function of the analog circuit,a digital signal processing system cascaded with the analog circuit is designed,which corrects the distortion caused by the analog circuit and improves the sampling precision of the flow cytometer for the pulse characteristic parameter. The experiment results verify that the proposed scheme can achieve fast baseline restoration of Gauss pulse signal with the pulse width from 4 μs to 8 μs,and the sampling errors of the area and peak characteristic parameters of the signals with different pulse widths are less than 1%.
作者
齐春晨
娄小平
刘超
祝连庆
Qi Chunchen;Lou Xiaoping;Liu Chao;Zhu Lianqing(Beijing Key Laboratory for Optoelectronics Measurement Technology, Beijing Information Science and Technology University, Beijing 100192, China)
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2018年第2期116-121,共6页
Chinese Journal of Scientific Instrument
基金
教育部“长江学者和创新团队”发展计划(IRT1212)
北京市市属高等学校创新团队建设提升计划(IDHT20130518)项目资助
关键词
流式细胞仪
基线恢复
脉冲信号处理
flow cytometer
baseline restoration
pulse signal processing