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

Matan Dudaie, Noga Nissim, Itay Barnea, Tobias Gerling, Claus Duschl, Michael Kirschbaum, Natan T. Shaked

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

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.

Original languageEnglish
Article numbere202000151
JournalJournal of Biophotonics
Volume13
Issue number11
DOIs
StatePublished - 1 Nov 2020
Externally publishedYes

Keywords

  • cell sorting
  • circulating tumor cell
  • dielectrophoresis
  • imaging flow cytometry
  • lab on a chip
  • quantitative phase microscopy

ASJC Scopus subject areas

  • General Chemistry
  • General Materials Science
  • General Biochemistry, Genetics and Molecular Biology
  • General Engineering
  • General Physics and Astronomy

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