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| Adhesion Segmentation Algorithm and Fluorescence Intensity Extraction for Human Umbilical Vein Endothelial Cells |
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Abstract Due to the complexity of adhesion and irregularity of human
umbilical vein endothelial cells, we propose a novel cell image
segmentation technique by combining cell image with corresponding
nucleus image based on label-controlled watershed algorithm instead
of segmenting the cell image directly. Moreover, nucleus
segmentation and location in stained cells are introduced. The most
fascinating advantage of the combined method is its accurate
positioning, which ensures that the center of each cell could be
positioned accurately and is conducive to the adhesion and irregular
cells segmentation. To determine the activation time of nuclear
factor kappa B and its signaling pathway blocking mechanism,
relevant fluorescence parameters extraction approach is also
discussed. Performance and result analysis demonstrate that this
algorithm is valid, precise, and very helpful to further cell
analysis and medical diagnosis.
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| Cite this article: |
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Ping Wang,Hui Feng,Lu Xu. Adhesion Segmentation Algorithm and Fluorescence Intensity Extraction for Human Umbilical Vein Endothelial Cells[J]. Journal of Fiber Bioengineering and Informatics, 2015, 8(3): 483-492.
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2015, Vol. 8 
