Abstract
Electrical Impedance Tomography (EIT) System has been developed for cell sedimentation detection in the present study. In this paper, the EIT system was evaluated by simulation and experiments. In the simulation, 3 image reconstruction algorithms were employed, which are GVSPM (Generalized Vector Sampled Pattern Matching), Tikhonov Regularization (TK) and Projected Landweber Iteration (PLW). GVSPM was found to be the optimum algorithm for image reconstruction due to its faster calculation and higher image correlation (/e). In the experiments, measurements of the cell distribution of two-phase flow which consist of yeast cells and purified water in the micro channel were conducted with a range of frequencies to find the optimum frequency for image reconstruction by GVSPM. Images of cell distribution reconstructed by GVSPM in three cross-sections showed that cells sediment at the bottom of the micro channel. The present study provides a successful approach for cell distribution sensing in microfluidics.
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