Towards A Fully Automated High-Throughput Phototransfection System.
We have designed and implemented a framework for creating a fully automated high-throughput phototransfection system. Integrated image processing, laser target position calculation, and stage movements show a throughput increase of > 23X over the current manual phototransfection method while the potential for even greater throughput improvements (> 110X) is described. A software tool for automated off-line single cell morphological measurements, as well as real-time image segmentation analysis, 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.
Cappelleri
David J
DJ
Department of Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ USA.
Halasz
Adam
A
Sul
Jai-Yoon
JY
Kim
Tae Kyung
TK
Eberwine
James
J
Kumar
Vijay
V