Volume 13, Issue 11 e202000151
FULL ARTICLE

Label-free discrimination and selection of cancer cells from blood during flow using holography-induced dielectrophoresis

Matan Dudaie

Matan Dudaie

Department of Biomedical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel

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Noga Nissim

Noga Nissim

Department of Biomedical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel

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Itay Barnea

Itay Barnea

Department of Biomedical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel

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Tobias Gerling

Tobias Gerling

Fraunhofer Institute for Cell Therapy and Immunology, Branch Bioanalytics and Bioprocesses, Potsdam, Germany

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Claus Duschl

Claus Duschl

Fraunhofer Institute for Cell Therapy and Immunology, Branch Bioanalytics and Bioprocesses, Potsdam, Germany

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Michael Kirschbaum

Michael Kirschbaum

Fraunhofer Institute for Cell Therapy and Immunology, Branch Bioanalytics and Bioprocesses, Potsdam, Germany

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Natan T. Shaked

Corresponding Author

Natan T. Shaked

Department of Biomedical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel

Correspondence

Natan T. Shaked, Department of Biomedical Engineering, Faculty of Engineering, Tel Aviv University, Ramat Aviv, 69978 Tel Aviv, Israel.

Email: [email protected]

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First published: 23 July 2020
Citations: 15

Funding information: Israel and German Ministries of Economy and Industry

Abstract

We present a method for label-free imaging and sorting of cancer cells in blood, which is based on a dielectrophoretic microfluidic chip and label-free interferometric phase microscopy. The chip used for imaging has been embedded with dielectrophoretic electrodes, and therefore it can be used to sort the cells based on the decisions obtained during the cell flow by the label-free quantitative imaging method. Hence, we obtained a real-time, automatic, label-free imaging flow cytometry with the ability to sort the cells during flow. To validate our model, we combined into the label-free imaging interferometer a fluorescence imaging channel that indicated the correctness of the label-free sorting. We have achieved above 98% classification success and 69% sorting accuracy at flow rates of 4 to 7 μL hr−1. In the future, this method is expected to help in label-free sorting of circulating tumor cells in blood following an initial state-of-the-art cell enrichment.image

CONFLICT OF INTEREST

The authors declare no potential conflict of interest.

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