[1]朱晓璐,倪中华.基于电动旋转介电泳的生物粒子介电常数测试技术[J].东南大学学报(自然科学版),2007,37(5):861-866.[doi:10.3969/j.issn.1001-0505.2007.05.025]
 Zhu Xiaolu,Ni Zhonghua.Measurement of permittivity of biological particles based on electrorotation[J].Journal of Southeast University (Natural Science Edition),2007,37(5):861-866.[doi:10.3969/j.issn.1001-0505.2007.05.025]
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基于电动旋转介电泳的生物粒子介电常数测试技术()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
37
期数:
2007年第5期
页码:
861-866
栏目:
生物医学工程
出版日期:
2007-09-20

文章信息/Info

Title:
Measurement of permittivity of biological particles based on electrorotation
作者:
朱晓璐 倪中华
东南大学机械工程学院, 南京 211189
Author(s):
Zhu Xiaolu Ni Zhonghua
School of Mechanical Engineering, Southeast University, Nanjing 211189, China
关键词:
等效偶极矩 介电常数 电动旋转介电泳 机器视觉技术
Keywords:
effective dipole moment permittivity electrorotation machine vision technique
分类号:
R318.04
DOI:
10.3969/j.issn.1001-0505.2007.05.025
摘要:
建立了基于机器视觉系统测量生物粒子介电常数的测量平台,并对建立测试平台所涉及的测量介电常数的理论模型、电极设计及仿真、粒子角速度检测等关键技术进行了研究.研究结果表明:在电极腔中心区域的半径为电极腔中心到电极顶尖距离的1/2圆形区域为最佳区域,在这个区域中转矩的变化基本在5%以内,介电泳力很小,基本解决了测试过程中影响粒子测量精度的迁移运动问题,降低了粒子迁移造成的误差.另一方面,融合机器视觉技术和概率统计的算法,实现了对单个和多个粒子进行测量,且对粒子的形状没有特殊要求.测试平台具有较高的准确性和运行效率,同时具有良好的普遍适用性和鲁棒性.
Abstract:
A measurement platform based on machine vision technique for determining the permittivity of bio-particles is established. Several key techniques have been researched, such as theoretical model for the measurement of permittivity, electrodes design with simulation and angle velocity measurement. The research results show that the best region is located within a circle of radius defined by half of the distance of chamber center to electrode tip, and in the best region the torque exerted on a particle varies within 5% and the dielectrophoretic force is very small, so the problem due to particle translation which influences the precision of measurement is basically resolved and the error caused by translation of particles is reduced. On the other hand, the algorithm integrating machine vision technique and probability statistics can be used for single particle as well as multi-particles, and the algorithm does not rely on the special shapes of the particles. The measurement platform provides not only high accuracy and efficiency but also universality and robustness.

参考文献/References:

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备注/Memo

备注/Memo:
基金项目: 国家自然科学基金资助项目(50675033)、国家高技术研究发展计划(863计划)资助项目(2006AA04Z351).
作者简介: 朱晓璐(1985—),男,硕士生; 倪中华(联系人),男,博士,教授,nzh2003@seu.edu.cn.
更新日期/Last Update: 2007-09-20