摘要
基于生物阻抗谱技术提出一种细胞悬浮液浓度自动识别方法,该方法结合了多元线性回归算法和生物阻抗谱技术,能够快速准确地识别细胞悬浮液的浓度.首先,提出一种细胞位置随机分布策略,模拟细胞的真实存在状态;其次,采用数值仿真的方法生成2400组不同浓度的正常、癌变以及混合的细胞模型并计算生物阻抗谱数据;然后,利用多元线性回归、支持向量机和梯度提升三种回归算法分别对癌变细胞浓度进行鉴别,仿真结果表明,多元线性回归算法为最佳回归模型,其平均拟合优度和均方误差分别是0.9997和0.0008;最后,将多元线性回归算法应用于不同浓度的红细胞悬浮液的识别中,实验结果显示其平均拟合优度和均方误差分别是0.9998和0.0079,说明该方法具有较高的细胞悬浮液浓度识别能力.
Based on bioimpedance spectroscopy technology,a method of automatically identifying the cell suspension concentration is proposed.This method combines multiple linear regression algorithm and bio impedance spectroscopy technology,which can identify the concentration of cell suspension quickly and accurately.Firstly,a strategy of random distribution of cell locations is proposed to simulate the true existence of cells.Secondly,2400 groups of normal,cancerous and mixed cell models with different concentrations are generated by numerical simulation and their bio impedance spectroscopy data are calculated.Thirdly,the multiple linear regression algorithm(MLR),support vector machine(SVM),and gradient boosting regression algorithm(GBR)are used to identify the concentration of cancerous cells.The simulation results show that the MLR is the best regression model for cell suspension concentration identification and its average goodness of fit and mean square error are 0.9997 and 0.0008 respectively.Finally,the MLR is applied to the identification of red blood cell suspensions with different concentrations,the experimental results show that the average goodness of fit and mean square error are 0.9998 and 0.0079,respectively,indicating that this method has a greater ability to identify cell suspension concentrations.
作者
刘圣龙
杨璐
朱程君
刘凯
韩伟
姚佳烽
Liu Sheng-Long;Yang Lu;Zhu Cheng-Jun;Liu Kai;Han Wei;Yao Jia-Feng(College of Mechanical and Electrical Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China;Department of Oncology,the First Affiliated Hospital with Nanjing Medical University,Nanjing 210029,China;Nanjing Stomatological Hospital Medical School of Nanjing University,Nanjing 210008,China)
出处
《物理学报》
SCIE
EI
CAS
CSCD
北大核心
2022年第7期369-377,共9页
Acta Physica Sinica
基金
国家自然科学基金(批准号:62071224)
精密测试及仪器国家重点实验室开放基金(批准号:pilab2107)资助的课题。
关键词
细胞浓度检测
生物阻抗谱
多元线性回归
细胞随机分布策略
cell concentration measurement
bioimpedance spectroscopy(BIS)
multiple linear regression(MLR)
random distribution strategy of cell
