Electric impedance microflow cytometry for characterization of cell disease states
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Electric impedance.pdf
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Author(s)
Du, E.
Ha, Sungjae
Diez-Silva, Monica
Dao, Ming
Suresh, Subra
Chandrakasan, Anantha P.
Date Issued
July 2013
Journal
Lab on a Chip
Publisher
Royal Society of Chemistry
Citation
Du, E., Sungjae Ha, Monica Diez-Silva, Ming Dao, Subra Suresh, and Anantha P. Chandrakasan. “Electric Impedance Microflow Cytometry for Characterization of Cell Disease States.” Lab Chip 13, no. 19 (2013): 3903.
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Author's final manuscript
Abstract
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 δ 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.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Department of Materials Science and Engineering
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DOI of Published Version
https://doi.org/10.1039/c3lc50540e
