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Detection and Isolation of Circulating Melanoma Cells using Photoacoustic Flowmetry
Published on: November 25, 2011
Discrimination Between Normal Skin Fibroblasts and Malignant Melanocytes Using Dielectrophoretic and Flow-Induced
Yuta Ojima1, Yuwa Takahashi1, Shogo Miyata2
1Graduate School of Science and Technology, Keio University, Yokohama 223-8522, Japan.
None:
Cell analysis is vital in clinical diagnostics and cell engineering research. Among the various analytical techniques, dielectrophoresis (DEP) is a particularly promising label-free method for distinguishing biological particles, which eliminates the need for fluorescent dyes or magnetic beads. In this study, we present a high-precision single-cell analysis system based on the evaluation of DEP forces in a controlled microfluidic flow environment. The system integrates a microfluidic chamber equipped with an electrode array to exert DEP forces and flow-induced shear forces to facilitate force balance analysis. We quantitatively characterized the DEP response to successfully discriminate between healthy skin cells and cancer cells using the proposed DEP-based cell-sorting platform. The proposed system successfully distinguished between these cell types even when their dielectrophoretic properties were similar, highlighting its potential for sensitive and selective cell classification in biomedical applications.

