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

Sensors

Chyung Ay²  Chao-Wang Young¹ 

[1] Department of Biomechatronic Engineering, National Chiayi University, No.300, Shyefu Rd., East Dist., Chiayi 600, Taiwan;

关键词: image processing;    electroosmotic flow;    fuzzy logic;    automatic control;    cell position;   

DOI  :  10.3390/s130506793

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2013 by the authors; licensee MDPI, Basel, Switzerland.