Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/106493
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Title: Characterization of a microchip device for cell patterning via negative dielectrophoresis
Authors: Huang, K 
Chu, HK 
Lu, B 
Cheng, L 
Issue Date: 2018
Source: ROBIO : 2018 IEEE International Conference on Robotics and Biomimetics : 12-15 December 2018, Kuala Lumpur, Malaysia, p. 1521-1526
Abstract: Patterning cells on a substrate is useful for cell assay and characterization. In this paper, a microchip employing negative dielectrophoresis was designed for efficient cell pattering. This chip consists of a 4-by-4 dot electrode array and the cell patterns are formed on a substrate lying on the microchip. To facilitate the microchip design, electric fields generated from the microchip were first simulated using software, and experiments were conducted to validate the performance of the microchip. Yeast cells suspending in the 6-aminohexanoic acid (AHA) solution were used in this study, and the effects of the cell medium, the voltage input and the voltage frequency were analyzed. The results confirm that cell patterns are successfully created with the microchip and this microchip offers an easy method to fabricate cell patterns on a substrate for characterization.
Publisher: Institute of Electrical and Electronics Engineers
ISBN: 978-1-7281-0378-5 (Print on Demand(PoD))
978-1-7281-0377-8 (Electronic)
978-1-7281-0376-1 (USB)
DOI: 10.1109/ROBIO.2018.8665210
Rights: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
The following publication K. Huang, H. K. Chu, B. Lu and L. Cheng, "Characterization of a Microchip Device for Cell Patterning via Negative Dielectrophoresis," 2018 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2018, pp. 1521-1526 is available at https://doi.org/10.1109/ROBIO.2018.8665210.
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