Next Article in Journal
Progress in Research of Flexible MEMS Microelectrodes for Neural Interface
Next Article in Special Issue
Microrobotic Platform for Single Motile Microorganism Investigation
Previous Article in Journal
Numerical Investigation of a Novel Wiring Scheme Enabling Simple and Accurate Impedance Cytometry
Previous Article in Special Issue
“Z”-Shaped Rotational Au/Pt Micro-Nanorobot
Article Menu
Issue 9 (September) cover image

Export Article

Open AccessArticle
Micromachines 2017, 8(9), 282; doi:10.3390/mi8090282

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

1
School of Mechanical Engineering, Shenyang Jianzhu University, Shenyang 110168, China
2
State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
3
Department of Mechanical and Biomedical Engineering, City University of Hong Kong, Hong Kong 999077, China
4
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)
View Full-Text   |   Download PDF [7955 KB, uploaded 18 September 2017]   |  

Abstract

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
Figures

Figure 1

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).

Supplementary material

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

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.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Micromachines EISSN 2072-666X Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top