Spatial separation of suspended particles based on contrast in their physical or chemical properties forms the basis of various biological assays performed on lab-on-achip devices. To electronically acquire this information, we have recently introduced a microfluidic sensing platform, called Microfluidic CODES, which combines the resistive pulse sensing with the code division multiple access in multiplexing a network of integrated electrical sensors. In this paper, we enhance the multiplexing capacity of the Microfluidic CODES by employing sensors that generate non-orthogonal code waveforms and a new decoding algorithm that combines machine learning techniques with minimum mean-squared error estimation. As a proof of principle, we fabricated a microfluidic device with a network of 10 code-multiplexed sensors and characterized it using cells suspended in phosphate buffer saline solution.
@article{arxiv.1808.03388,
title = {Code-division multiplexed resistive pulse sensor networks for spatio-temporal detection of particles in microfluidic devices},
author = {Ningquan Wang and Ruxiu Liu and Roozbeh Khodambashi and Norh Asmare and A. Fatih Sarioglu},
journal= {arXiv preprint arXiv:1808.03388},
year = {2018}
}
Comments
2017 IEEE 30th International Conference on Micro Electro Mechanical Systems (MEMS)