Volume 8, Issue 3
Adhesion Segmentation Algorithm and Fluorescence Intensity Extraction for Human Umbilical Vein Endothelial Cells

PingWang, Hui Feng & Lu Xu

Journal of Fiber Bioengineering & Informatics, 8 (2015), pp. 483-492.

Published online: 2015-08

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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.

  • Keywords

Human Umbilical Vein Endothelial Cells Adhesion Segmentation Nucleus Localization Label-controlled Watershed Algorithm

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COPYRIGHT: © Global Science Press

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@Article{JFBI-8-483, author = {}, title = {Adhesion Segmentation Algorithm and Fluorescence Intensity Extraction for Human Umbilical Vein Endothelial Cells}, journal = {Journal of Fiber Bioengineering and Informatics}, year = {2015}, volume = {8}, number = {3}, pages = {483--492}, 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.}, issn = {2617-8699}, doi = {https://doi.org/10.3993/jfbim00144}, url = {http://global-sci.org/intro/article_detail/jfbi/4729.html} }
TY - JOUR T1 - Adhesion Segmentation Algorithm and Fluorescence Intensity Extraction for Human Umbilical Vein Endothelial Cells JO - Journal of Fiber Bioengineering and Informatics VL - 3 SP - 483 EP - 492 PY - 2015 DA - 2015/08 SN - 8 DO - http://doi.org/10.3993/jfbim00144 UR - https://global-sci.org/intro/article_detail/jfbi/4729.html KW - Human Umbilical Vein Endothelial Cells KW - Adhesion Segmentation KW - Nucleus Localization KW - Label-controlled Watershed Algorithm AB - 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.
PingWang, Hui Feng & Lu Xu. (2019). Adhesion Segmentation Algorithm and Fluorescence Intensity Extraction for Human Umbilical Vein Endothelial Cells. Journal of Fiber Bioengineering and Informatics. 8 (3). 483-492. doi:10.3993/jfbim00144
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