Document Detail
Application of machine vision for automated cell injection
Abstract/OtherAbstract :
This paper presents image processing algorithms recognising cell structures for an automated cell injection system. For suspended zebrafish embryos, the convex hull and convexity defects of the cytoplasm contour are used. For adherent endothelial cells, the surface and shadow information of the nucleoli is used. Overall, 550 zebrafish embryos were 100% correctly recognised in online injection experiments. Compared to manual injection, the automated injection speed and reproducibility increase by up to 1.5-fold and 67% respectively. In the endothelial cell case, 436 nucleoli were 92% correctly recognised, paving the way for an automated adherent cell injection system to be developed.
Authors :
Wenhui Wang, Darren Hewett, Christopher E. Hann, J. Geoffrey Chase, Xiao Qi Chen
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Contributors :
Int. J. of Mechatronics and Manufacturing Systems
Publication Detail :
Publisher :  Inderscience Publishers     Type :  -     Format :  -    
Date Detail :
2009-04-01
Subject :
machine vision, image processing, cell injection, zebrafish embryos, endothelial cells, snake tracking, Delaunay triangulation, automated injection speed, automated injection reproducibility, cellular material delivery.
Coverage :
-
Relation :
ISSN online: 1753-1047 ISSN print: 1753-1039
Source :
IJMMS (2009), Vol 2 Issue 1/2, pp 120 - 134
Copyright Information :
Inderscience Copyright
Other Details :
Languages :  eng    
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