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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.
Matan Dudaie,Noga Nissim,Itay Barnea, andNatan T. Shaked
"Label free discrimination and selection of cancer cells during flow (Conference Presentation)", Proc. SPIE 11251, Label-free Biomedical Imaging and Sensing (LBIS) 2020, 112511U (10 March 2020); https://doi.org/10.1117/12.2548816
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Matan Dudaie, Noga Nissim, Itay Barnea, Natan T. Shaked, "Label free discrimination and selection of cancer cells during flow (Conference Presentation)," Proc. SPIE 11251, Label-free Biomedical Imaging and Sensing (LBIS) 2020, 112511U (10 March 2020); https://doi.org/10.1117/12.2548816