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Micromachines 2017, 8(9), 282;

Accurate Extraction of the Self-Rotational Speed for Cells in an Electrokinetics Force Field by an Image Matching Algorithm

School of Mechanical Engineering, Shenyang Jianzhu University, Shenyang 110168, China
State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
Department of Mechanical and Biomedical Engineering, City University of Hong Kong, Hong Kong 999077, China
Institute of Advanced and Intelligent Sensing Systems, Shenzhen Academy of Robotics, Shenzhen 518057, China
Authors to whom correspondence should be addressed.
Received: 30 July 2017 / Revised: 4 September 2017 / Accepted: 13 September 2017 / Published: 18 September 2017
(This article belongs to the Special Issue Micro/Nano Robotics, Volume II)
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We present an image-matching-based automated algorithm capable of accurately determining the self-rotational speed of cancer cells in an optically-induced electrokinetics-based microfluidic chip. To automatically track a specific cell in a video featuring more than one cell, a background subtraction technique was used. To determine the rotational speeds of cells, a reference frame was automatically selected and curve fitting was performed to improve the stability and accuracy. Results show that the algorithm was able to accurately calculate the self-rotational speeds of cells up to ~150 rpm. In addition, the algorithm could be used to determine the motion trajectories of the cells. Potential applications for the developed algorithm include the differentiation of cell morphology and characterization of cell electrical properties. View Full-Text
Keywords: cellular behaviors; electrokinetics field; image-tracking; self-rotation; template-matching cellular behaviors; electrokinetics field; image-tracking; self-rotation; template-matching

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Yang, X.; Niu, X.; Liu, Z.; Zhao, Y.; Zhang, G.; Liang, W.; Li, W.J. Accurate Extraction of the Self-Rotational Speed for Cells in an Electrokinetics Force Field by an Image Matching Algorithm. Micromachines 2017, 8, 282.

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