System identification and stochastic estimation of dielectric properties of a spherical particle using AC-induced electro-rotation

Abstract

Automation of cell manipulation is required in several biotechnological fields, such as cloning, to obtain high repeatability and throughput. Noticeably scarce from the existing automated cell manipulation strategy is the estimation of dielectric response of interior and exterior single cell morphologies. We present an alternating current induced electrorotation of a single cell around the yaw-axis (in-plane) and provide a system model approach to obtain a state space model for automated cell rotation. Two pairs of orthogonally arranged square tipped electrodes are applied with sinusoidal signals along with phase shifts to obtain cell rotation. Electrodes are fabricated by micro-milling process, which is cost effective and bio-compatible. We experimentally demonstrate rotation of a single bovine oocyte of approximately 120 micron diameter. Experimental rotation can be used to estimate the hidden parameters for the system model using stochastic estimation. This article demonstrates rotation, providing the data for a system identification method.