| Literature DB >> 20706617 |
David J Cappelleri1, Adam Halasz, Jai-Yoon Sul, Tae Kyung Kim, James Eberwine, Vijay Kumar.
Abstract
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.Entities:
Year: 2010 PMID: 20706617 PMCID: PMC2917821 DOI: 10.1016/j.jala.2010.03.003
Source DB: PubMed Journal: JALA Charlottesv Va ISSN: 1535-5535