Electric impedance microflow cytometry for characterization of cell disease states

被引:79
作者
Du, E. [1 ]
Ha, Sungjae [2 ]
Diez-Silva, Monica [1 ]
Dao, Ming [1 ]
Suresh, Subra [3 ,4 ]
Chandrakasan, Anantha P. [2 ]
机构
[1] MIT, Dept Mat Sci & Engn, Cambridge, MA 02139 USA
[2] MIT, Dept Elect Engn & Comp Sci, Cambridge, MA 02139 USA
[3] Carnegie Mellon Univ, Dept Mat Sci & Engn, Pittsburgh, PA 15213 USA
[4] Carnegie Mellon Univ, Dept Biomed Engn, Pittsburgh, PA 15213 USA
基金
新加坡国家研究基金会; 美国国家卫生研究院;
关键词
FALCIPARUM-INFECTED ERYTHROCYTES; SINGLE-CELL; CANCER; SPECTROSCOPY; MALARIA; DIAGNOSIS; BIOMECHANICS; BIOPHYSICS; CULTURE; SURFACE;
D O I
10.1039/c3lc50540e
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The electrical properties of biological cells have connections to their pathological states. Here we present an electric impedance microflow cytometry (EIMC) platform for the characterization of disease states of single cells. This platform entails a microfluidic device for a label-free and non-invasive cell-counting assay through electric impedance sensing. We identified a dimensionless offset parameter delta obtained as a linear combination of a normalized phase shift and a normalized magnitude shift in electric impedance to differentiate cells on the basis of their pathological states. This paper discusses a representative case study on red blood cells (RBCs) invaded by the malaria parasite Plasmodium falciparum. Invasion by P. falciparum induces physical and biochemical changes on the host cells throughout a 48-h multi-stage life cycle within the RBC. As a consequence, it also induces progressive changes in electrical properties of the host cells. We demonstrate that the EIMC system in combination with data analysis involving the new offset parameter allows differentiation of P. falciparum infected RBCs from uninfected RBCs as well as among different P. falciparum intraerythrocytic asexual stages including the ring stage. The representative results provided here also point to the potential of the proposed experimental and analysis platform as a valuable tool for non-invasive diagnostics of a wide variety of disease states and for cell separation.
引用
收藏
页码:3903 / 3909
页数:7
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