A multi-target tracking sensor platform for dielectrophoresis-based characterization of cells

In this paper, we present a sensor platform for characterizing cells using dielectrophoresis. With our approach, we use a multi-target multiple-hypothesis tracking algorithm to automatically capture dielectrophoresis velocity information about the cells contained in a mixture. The algorithm we implemented is scalable and suitable for use with real-world samples where there is a high concentration of cells to characterize. We implement our method as a compact, low-power device that can be used in point-of-care applications and present results of the sensor platform characterizing yeast cells.