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Development of an integrated chip for automatic tracking and positioning manipulation for single cell lysis.

Young CW, Hsieh JL, Ay C - Sensors (Basel) (2012)

Bottom Line: The average speed of cell driving was 17.74 μm/s.This technique will be developed for DNA extraction in biomolecular detection.It can simplify pre-treatment procedures for biotechnological analysis of samples.

View Article: PubMed Central - PubMed

Affiliation: Department of Biomechatronic Engineering, National Chiayi University, Chiayi 600, Taiwan. youngcw@mail.ncyu.edu.tw

ABSTRACT
This study adopted a microelectromechanical fabrication process to design a chip integrated with electroosmotic flow and dielectrophoresis force for single cell lysis. Human histiocytic lymphoma U937 cells were driven rapidly by electroosmotic flow and precisely moved to a specific area for cell lysis. By varying the frequency of AC power, 15 V AC at 1 MHz of frequency configuration achieved 100% cell lysing at the specific area. The integrated chip could successfully manipulate single cells to a specific position and lysis. The overall successful rate of cell tracking, positioning, and cell lysis is 80%. The average speed of cell driving was 17.74 μm/s. This technique will be developed for DNA extraction in biomolecular detection. It can simplify pre-treatment procedures for biotechnological analysis of samples.

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Related in: MedlinePlus

Result of image processing.
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f3-sensors-12-02400: Result of image processing.

Mentions: A NI PCI-1411 image card was used to acquire the images. Under a resolution of 640 × 480, 30 images could be acquired per second. In the beginning, the acquired image should be stored for observation, and the location and size of every cell should be found quickly by the program. Because the acquired image will have noise, the image should be filtered to eliminate the noise and obtain a smoother picture. In this experiment, the median filter was used, and binarization morphological processing of the image was conducted to realize accurate cell manipulation (as shown in Figure 3).


Development of an integrated chip for automatic tracking and positioning manipulation for single cell lysis.

Young CW, Hsieh JL, Ay C - Sensors (Basel) (2012)

Result of image processing.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3376563&req=5

f3-sensors-12-02400: Result of image processing.
Mentions: A NI PCI-1411 image card was used to acquire the images. Under a resolution of 640 × 480, 30 images could be acquired per second. In the beginning, the acquired image should be stored for observation, and the location and size of every cell should be found quickly by the program. Because the acquired image will have noise, the image should be filtered to eliminate the noise and obtain a smoother picture. In this experiment, the median filter was used, and binarization morphological processing of the image was conducted to realize accurate cell manipulation (as shown in Figure 3).

Bottom Line: The average speed of cell driving was 17.74 μm/s.This technique will be developed for DNA extraction in biomolecular detection.It can simplify pre-treatment procedures for biotechnological analysis of samples.

View Article: PubMed Central - PubMed

Affiliation: Department of Biomechatronic Engineering, National Chiayi University, Chiayi 600, Taiwan. youngcw@mail.ncyu.edu.tw

ABSTRACT
This study adopted a microelectromechanical fabrication process to design a chip integrated with electroosmotic flow and dielectrophoresis force for single cell lysis. Human histiocytic lymphoma U937 cells were driven rapidly by electroosmotic flow and precisely moved to a specific area for cell lysis. By varying the frequency of AC power, 15 V AC at 1 MHz of frequency configuration achieved 100% cell lysing at the specific area. The integrated chip could successfully manipulate single cells to a specific position and lysis. The overall successful rate of cell tracking, positioning, and cell lysis is 80%. The average speed of cell driving was 17.74 μm/s. This technique will be developed for DNA extraction in biomolecular detection. It can simplify pre-treatment procedures for biotechnological analysis of samples.

Show MeSH
Related in: MedlinePlus