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.
Highlights
The microscope has made a tremendous contribution to 21st century scientific research
The current study aims to use image processing to track a single cell [6], apply the electroosmotic flow to drive the movement of the cell, and employ fuzzy logic to provide control rules [7,8]
It can be seen that some doubtful, dead cells and other objects are retained in addition to the desired images
Summary
The microscope has made a tremendous contribution to 21st century scientific research. Oddy and Santiago analyzed the movement rate of particles subject to dielectrophoresis and electroosmosis in a microchannel under AC and DC electric fields [1]. These studies on microparticle manipulation techniques have yielded significant results, information concerning the automation of a series of operation and control steps is scarce. It can be seen that some doubtful, dead cells and other objects are retained in addition to the desired images At this point IMAQ RemoveParticle subVI can be used to eliminate small impurities, clean up the images and prevent their influence on further detection (Figure 4(a)). The IMAQ Detect Shapes subVI can find all approximate circles, and the location and size of every cell should be found quickly (Figure 4(b))
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