A microrobotic adherent cell injection system for investigating intracellular behavior of quantum dots

W. H. Wang, Y. Sun, M. Zhang, R. Anderson, L. Langille, W. Chan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)

Abstract

This paper presents a semi-automated microrobotic system for adherent cell injection. Different from embryos/oocytes that have a spherical shape and regular morphology, adherent cells are flat with a thickness of a few micrometers and are highly irregular in morphology. Based on computer vision microscopy and motion control, the system coordinately controls a three-degrees-of-freedom microrobot and a precision XY stage. The microrobotic system demonstrates an injection speed of 25 endothelial cells per minute with a survival rate of 96% and a success rate of 82% (n=1012). The system has a high degree of performance consistency. It is immune to operator proficiency variations and from human fatigue, requiring a human operator to select injection destinations through computer mouse clicking as the only operator intervention. The microrobotic adherent cell injection system makes the injection of thousands of adherent cells practical and will enable our testing of intracellular behavior of semiconductive quantum dots (QDs).

Original languageEnglish
Title of host publication2008 IEEE International Conference on Robotics and Automation, ICRA 2008
Pages407-412
Number of pages6
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event2008 IEEE International Conference on Robotics and Automation, ICRA 2008 - Pasadena, CA, United States
Duration: May 19 2008May 23 2008

Publication series

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

Conference

Conference2008 IEEE International Conference on Robotics and Automation, ICRA 2008
Country/TerritoryUnited States
CityPasadena, CA
Period5/19/085/23/08

ASJC Scopus Subject Areas

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

Keywords

  • Adherent cell
  • Endothelial cells
  • Microrobotic injection
  • Molecule screening
  • Quantum dots

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