IR@PKUHSC  > 北京大学第二临床医学院  > 泌尿外科
学科主题临床医学
A microfluidic system for cell type classification based on cellular size-independent electrical properties
Zhao, Yang1; Chen, Deyong1; Luo, Yana1; Li, Hao1; Deng, Bin1; Huang, Song-Bin2; Chiu, Tzu-Keng2; Wu, Min-Hsien2; Long, Rong3; Hu, Hao4; Zhao, Xiaoting5; Yue, Wentao5; Wang, Junbo1; Chen, Jian1
刊名LAB ON A CHIP
2013
DOI10.1039/c3lc41361f
13期:12页:2272-2277
收录类别SCI
文章类型Article
WOS标题词Science & Technology
类目[WOS]Biochemical Research Methods ; Chemistry, Multidisciplinary ; Nanoscience & Nanotechnology
资助者National Natural Science Foundation of China ; FP7 ; National Natural Science Foundation of China ; FP7
研究领域[WOS]Biochemistry & Molecular Biology ; Chemistry ; Science & Technology - Other Topics
关键词[WOS]BREAST-CANCER CELLS ; FLOW-CYTOMETRY ; DIELECTRIC-SPECTROSCOPY ; IMPEDANCE CYTOMETRY ; BLOOD
英文摘要

This paper presents a microfluidic system enabling cell type classification based on continuous characterization of size-independent electrical properties (e.g., specific membrane capacitance (C-specific membrane) and cytoplasm conductivity (sigma(cytoplasm))). In this study, cells were aspirated continuously through a constriction channel, while cell elongation and impedance profiles at two frequencies (1 kHz and 100 kHz) were measured simultaneously. Based on a proposed distributed equivalent circuit model, 1 kHz impedance data were used to evaluate cellular sealing properties with constriction channel walls and 100 kHz impedance data were translated to C-specific membrane and sigma(cytoplasm). Two lung cancer cell lines of CRL-5803 cells (n(cell) = 489) and CCL-185 cells (n(cell) = 487) were used to evaluate this technique, producing a C-specific membrane of 1.63 +/- 0.52 mu F cm(-2) vs. 2.00 +/- 0.60 mu F cm(-2), and sigma(cytoplasm) of 0.90 +/- 0.19 S m(-1) vs. 0.73 +/- 0.17 S m(-1). Neural network-based pattern recognition was used to classify CRL-5803 and CCL-185 cells, producing success rates of 65.4% (C-specific membrane), 71.4% (sigma(cytoplasm)), and 74.4% (C-specific membrane and sigma(cytoplasm)), suggesting that these two tumor cell lines can be classified based on their electrical properties.

语种英语
所属项目编号61201077 ; 81261120561 ; PIRSES-GA-2009-247641
资助者National Natural Science Foundation of China ; FP7 ; National Natural Science Foundation of China ; FP7
WOS记录号WOS:000319285500007
Citation statistics
Cited Times:24[WOS]   [WOS Record]     [Related Records in WOS]
文献类型期刊论文
条目标识符http://ir.bjmu.edu.cn/handle/400002259/55970
Collection北京大学第二临床医学院_泌尿外科
作者单位1.Chang Gung Univ, Inst Biochem & Biomed Engn, Tao Yuan, Taiwan
2.Chinese Acad Sci, Inst Elect, State Key Lab Transducer Technol, Beijing, Peoples R China
3.Univ Colorado, Dept Mech Engn, Boulder, CO 80309 USA
4.Peking Univ, Hlth Sci Ctr, Peoples Hosp, Dept Urol, Beijing 100871, Peoples R China
5.Capital Med Univ, Beijing Chest Hosp, Dept Cellular & Mol Biol, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Zhao, Yang,Chen, Deyong,Luo, Yana,et al. A microfluidic system for cell type classification based on cellular size-independent electrical properties[J]. LAB ON A CHIP,2013,13(12):2272-2277.
APA Zhao, Yang.,Chen, Deyong.,Luo, Yana.,Li, Hao.,Deng, Bin.,...&Chen, Jian.(2013).A microfluidic system for cell type classification based on cellular size-independent electrical properties.LAB ON A CHIP,13(12),2272-2277.
MLA Zhao, Yang,et al."A microfluidic system for cell type classification based on cellular size-independent electrical properties".LAB ON A CHIP 13.12(2013):2272-2277.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
谷歌学术
谷歌学术Similar articles in
[Zhao, Yang]'s Articles
[Chen, Deyong]'s Articles
[Luo, Yana]'s Articles
百度学术
百度学术Similar articles in
[Zhao, Yang]'s Articles
[Chen, Deyong]'s Articles
[Luo, Yana]'s Articles
必应学术
必应学术Similar articles in
[Zhao, Yang]'s Articles
[Chen, Deyong]'s Articles
[Luo, Yana]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.