Towards fully automated phototransfection

Authors:
David J. Cappelleri;Ádám Halász;Jai-Yoon Sul;Tae Kyung Kim;James Eberwine;Vijay Kumar
Affiliations:
Multo-Scale Robotics and Automation Lab, Department of Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ;Dept. of Mathematics, West Virginia University, Morgantown, WV;Dept. of Pharmacology, PENN Genome Frontiers Institute, University of Pennsylvania, Philadelphia, PA;Dept. of Pharmacology, PENN Genome Frontiers Institute, University of Pennsylvania, Philadelphia, PA;Dept. of Pharmacology, PENN Genome Frontiers Institute, University of Pennsylvania, Philadelphia, PA;GRASP Lab, Department of Mechanical Engineering, University of Pennsylvania, Philadelphia, PA
Venue:
CASE'09 Proceedings of the fifth annual IEEE international conference on Automation science and engineering
Year:
2009

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Abstract

Flexible automation technologies have been applied to the manual phototransfection procedure on fibroblast and astrocyte cells.We have designed and implemented a framework for increased throughput of the entire process. Integrated image processing, laser target position calculation, and stage movements show a throughput increase of 23X over the current manual method while the potential for even greater throughput improvements ( 110X) is described. A software tool for automated single cell morphological measurements has also been constructed and shown to be able quantify changes in the cell before and after the process, successfully characterizing them, using metrics such as cell perimeter, area, major and minor axis length, and eccentricity values.