DESIGN AND EVALUATION OF A NEW ELECTROPHORETIC MOBILITY MEASUREMENT INSTRUMENT USING MICROELECTROPHORESIS SYSTEM WITH IMAGE PROCESSING METHOD

2017 ◽  
Vol 29 (05) ◽  
pp. 1750036
Author(s):  
Boon Yew Teoh ◽  
Misni Misran ◽  
Zhi Zhang Tan ◽  
Poh Foong Lee

Electrophoretic mobility (EPM) measurement on biological particles in fluids is well established. The current method in measuring EPM is using laser which the target particles are not visible. Additional morphology information is critical for the EPM measurement. Image processing is a promising method to obtain the EPM together with the morphology information. In this study, a setup of micro electrophoresis system with a compact CCD microscope was constructed. This setup was equipped with image processing method for capturing the images of the moving particles in an electric field. With the image processing method (Horn–Schunck method), the images captured were processed in real time to obtain the EPM of the particle. Velocity of the particles was then measured and the particles’ EPM was obtained. With the captured images of the particles in real time, the system can present the image of the targeted particle together with the EPM value. The setup of this prototype was calibrated with discrete particles (Polystyrene microsphere size of 10[Formula: see text][Formula: see text]m[Formula: see text] 5%) and with a magnification value of 125[Formula: see text]X. This system is suitable for the surface charge measurement of discrete particle with size in between 4[Formula: see text][Formula: see text]m and 20[Formula: see text][Formula: see text]m. Comparison of commercialized device with our laboratory setup for calibration on EPM of polystyrene beads had a variance of solely 13%. Measurement on yeast cells, normal (hFob 1.19) and cancer bone cells (U2OS) indicated that the EPM of yeast became highly negative in the pH value of 4.5 and 6.5. The negative EPM of the cancer cell is slightly larger than that of the normal cell for pH ranging from 4.4 to 5.0. In conclusion, the real-time EPM measurement set up for this study is able to display the real-time images of the moving particles in fluid suspension during measurement.

2015 ◽  
Vol 713-715 ◽  
pp. 2101-2105
Author(s):  
Lei Gao ◽  
Hong Li Xu

The key of real-time obstacle avoidance for AUV is to accurately and fast identify underwater obstacle. In this paper, according to the characteristics of the multi-beam forward-looking sonar of AUV, we extracted the obstacle information from sonar image with the image filtering, fuzzy clustering and morphological methods. Finally, it can be proved that the real-time image processing method is feasible and effective by the lake trial.


2012 ◽  
Vol 723 ◽  
pp. 383-388
Author(s):  
Kai Bo Zheng ◽  
Ning He ◽  
Liang Li ◽  
Meng Zhao ◽  
Zhan Qiang Liu

Based on microscope and image processing, a method of auto tool setting for micro turning was innovated. Firstly, real-time images of tool setting were obtained by high pixel CCD camera, then specific image processing method and algorithm were applied to these images and the deviation between the tool point and target position was calculated. Based on the gap value, tool feeding increment value was adjusted and image processing operations were executed. These steps were repeated until the gap was zero, which means that tool setting was finished. Moreover, a reliability analysis was performed. Result indicated that the precision of tool setting is satisfactory.


1984 ◽  
Vol 70 (9) ◽  
pp. 1194-1201 ◽  
Author(s):  
Masayoshi IWASAKI ◽  
Yasuhide NAKAI ◽  
Yoshiro NISHIMOTO ◽  
Kunio TSUJI ◽  
Isamu HIROSE ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document