Automated cell patterning system with a microchip using dielectrophoresis

Kaicheng Huang, Henry K. Chu, Bo Lu, Jiewen Lai, Li Cheng

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

4 Citations (Scopus)

Abstract

The ability to patterning cells is an important technique to facilitate cell-based assay and characterization. In this paper, an automated cell patterning system was developed for the fabrication of large-scale cell patterns. To resolve the challenge of the limited printable area, the cell-printing microchip and the substrate were mounted on the movable stages of the system, and large-scale cell patterns were realized through coordination between the stages. An autofocusing technique was integrated in the system to evaluate the gap between the microchip and the substrate. In order to enhance the performance of the patterning system, different experimental parameters, including the velocity of the moving stage, were examined. Yeast cells suspending in 6-aminohexanoic acid (AHA) solution were considered in this study, and a sequence of characters was successfully printed using the proposed system. The results confirm that this system offers an automatic method with high flexibility to construct large-scale cell patterns for various applications.

Original languageEnglish
Title of host publication2019 International Conference on Robotics and Automation, ICRA 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages634-639
Number of pages6
ISBN (Electronic)9781538660263
DOIs
Publication statusPublished - May 2019
Event2019 International Conference on Robotics and Automation, ICRA 2019 - Montreal, Canada
Duration: 20 May 201924 May 2019

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
Volume2019-May
ISSN (Print)1050-4729

Conference

Conference2019 International Conference on Robotics and Automation, ICRA 2019
Country/TerritoryCanada
CityMontreal
Period20/05/1924/05/19

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

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