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Proceedings Paper

Label free discrimination and selection of cancer cells during flow (Conference Presentation)
Author(s): Matan Dudaie; Noga Nissim; Itay Barnea; Natan T. Shaked

Paper Abstract

Progression of acute diseases such as cancer often depend on a small number of specialized cells. Identification and isolation of the cells intact is of utmost importance. Label-based approaches are incompatible with noninvasive cell processing. We propose a a new label-free technique for noninvasive and automated cell processing and discrimination of individual cells. By acquiring holograms of each cell and achieving its optical path delay (OPD) profile, we extract features that highly differentiate cancerous cells from heterogeneous blood sample. Using a dielectrophoresis flow chamber to control each cell, we can than collect the cancerous cells for further analysis and classification.

Paper Details

Date Published: 10 March 2020
Proc. SPIE 11251, Label-free Biomedical Imaging and Sensing (LBIS) 2020, 112511U (10 March 2020); doi: 10.1117/12.2548816
Show Author Affiliations
Matan Dudaie, Tel Aviv Univ. (Israel)
Noga Nissim, Tel Aviv Univ. (Israel)
Itay Barnea, Tel Aviv Univ. (Israel)
Natan T. Shaked, Tel Aviv Univ. (Israel)

Published in SPIE Proceedings Vol. 11251:
Label-free Biomedical Imaging and Sensing (LBIS) 2020
Natan T. Shaked; Oliver Hayden, Editor(s)

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