Electric impedance microflow cytometry for characterization of cell disease states

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-inva...

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Main Authors: Du, E., Ha, Sungjae, Diez-Silva, Monica, Dao, Ming, Suresh, Subra, Chandrakasan, Anantha P.
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:en_US
Published: Royal Society of Chemistry 2015
Online Access:http://hdl.handle.net/1721.1/99903
https://orcid.org/0000-0002-5977-2748
https://orcid.org/0000-0002-0301-0891
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author Du, E.
Ha, Sungjae
Diez-Silva, Monica
Dao, Ming
Suresh, Subra
Chandrakasan, Anantha P.
author2 Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
author_facet Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Du, E.
Ha, Sungjae
Diez-Silva, Monica
Dao, Ming
Suresh, Subra
Chandrakasan, Anantha P.
author_sort Du, E.
collection MIT
description 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.
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spelling mit-1721.1/999032022-09-27T21:04:20Z Electric impedance microflow cytometry for characterization of cell disease states Du, E. Ha, Sungjae Diez-Silva, Monica Dao, Ming Suresh, Subra Chandrakasan, Anantha P. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology. Department of Materials Science and Engineering Du, E. Ha, Sungjae Diez-Silva, Monica Dao, Ming Chandrakasan, Anantha P. 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. Singapore. National Research Foundation (Singapore-MIT Alliance for Research and Technology) Massachusetts Institute of Technology. Center for Integrated Circuits and Systems National Institutes of Health (U.S.) (Grant R01 HL094270) 2015-11-13T13:02:54Z 2015-11-13T13:02:54Z 2013-07 2013-05 Article http://purl.org/eprint/type/JournalArticle 1473-0197 1473-0189 http://hdl.handle.net/1721.1/99903 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. https://orcid.org/0000-0002-5977-2748 https://orcid.org/0000-0002-0301-0891 en_US http://dx.doi.org/10.1039/c3lc50540e Lab on a Chip Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Royal Society of Chemistry PMC
spellingShingle Du, E.
Ha, Sungjae
Diez-Silva, Monica
Dao, Ming
Suresh, Subra
Chandrakasan, Anantha P.
Electric impedance microflow cytometry for characterization of cell disease states
title Electric impedance microflow cytometry for characterization of cell disease states
title_full Electric impedance microflow cytometry for characterization of cell disease states
title_fullStr Electric impedance microflow cytometry for characterization of cell disease states
title_full_unstemmed Electric impedance microflow cytometry for characterization of cell disease states
title_short Electric impedance microflow cytometry for characterization of cell disease states
title_sort electric impedance microflow cytometry for characterization of cell disease states
url http://hdl.handle.net/1721.1/99903
https://orcid.org/0000-0002-5977-2748
https://orcid.org/0000-0002-0301-0891
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