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Sensors 2013, 13(5), 6793-6810; doi:10.3390/s130506793

Design of a Single-Cell Positioning Controller Using Electroosmotic Flow and Image Processing

Department of Biomechatronic Engineering, National Chiayi University, No.300, Shyefu Rd., East Dist., Chiayi 600, Taiwan
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Received: 6 February 2013 / Revised: 10 April 2013 / Accepted: 16 May 2013 / Published: 21 May 2013
(This article belongs to the Section Biosensors)
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Abstract

The objective of the current research was not only to provide a fast and automatic positioning platform for single cells, but also improved biomolecular manipulation techniques. In this study, an automatic platform for cell positioning using electroosmotic flow and image processing technology was designed. The platform was developed using a PCI image acquisition interface card for capturing images from a microscope and then transferring them to a computer using human-machine interface software. This software was designed by the Laboratory Virtual Instrument Engineering Workbench, a graphical language for finding cell positions and viewing the driving trace, and the fuzzy logic method for controlling the voltage or time of an electric field. After experiments on real human leukemic cells (U-937), the success of the cell positioning rate achieved by controlling the voltage factor reaches 100% within 5 s. A greater precision is obtained when controlling the time factor, whereby the success rate reaches 100% within 28 s. Advantages in both high speed and high precision are attained if these two voltage and time control methods are combined. The control speed with the combined method is about 5.18 times greater than that achieved by the time method, and the control precision with the combined method is more than five times greater than that achieved by the voltage method. View Full-Text
Keywords: image processing; electroosmotic flow; fuzzy logic; automatic control; cell position image processing; electroosmotic flow; fuzzy logic; automatic control; cell position
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Ay, C.; Young, C.-W.; Chen, J.-Y. Design of a Single-Cell Positioning Controller Using Electroosmotic Flow and Image Processing. Sensors 2013, 13, 6793-6810.

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