A surface acoustic wave pumped lensless microfluidic imaging system for flowing cell detection and counting

Huang, Xiwei, Farooq, Umar, Chen, Jin, Ge, Yakun, Gao, Haijun, Su, Jiangtao, Wang, Xiang, Dong, Shurong and Luo, J. ORCID: 0000-0003-0310-2443 (2017) A surface acoustic wave pumped lensless microfluidic imaging system for flowing cell detection and counting. IEEE Transactions on Biomedical Circuits and Systems, 11 (6). pp. 1478-1487. ISSN 1932-4545

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Abstract

The future point-of-care diagnostics requires miniaturizing the existing bulky and expensive bioanalysis instruments, where lab-on-CMOS-chip-based technology can provide a promising solution. In this paper, we presented a surface acoustic wave (SAW) pumped lensless microfluidic imaging system for flowing cell detection and counting. Different from the previous lensless systems, which employ external bulky syringe pump for cell driven, the developed system directly integrates the SAW pump on the CMOS image sensor chip to drive the cell-containing microfluid. Moreover, an efficient temporal-differencing-based motion detection algorithm is proposed for continuous flowing cell detection and counting. Experimental results show that the SAW pump can drive the cells to flow at different driven powers, and also can keep the channel temperature below 40 °C so as not to harm the cells. The human bone marrow stromal cells flowing in the microfluidic channel can be automatically detected and counted with a low statistical error rate of -6.53%. The developed system thereby is competitive for point-of-care cell detection and counting application.

Item Type: Article
Uncontrolled Keywords: —Lab-on-CMOS, lensless microfluidic imaging, surface acoustic wave, temporal-differencing, flowing cell, detection and counting
Subjects: Q Science > Q Science (General)
Divisions: University of Bolton Research Centres > Institute for Renewable Energy and Environmental Technologies
Depositing User: Sarah Taylor
Date Deposited: 23 Mar 2018 15:23
Last Modified: 23 Mar 2018 15:23
Identification Number: 10.1109/TBCAS.2017.2732828
URI: http://ubir.bolton.ac.uk/id/eprint/1592

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