Document Detail


Analysis of tight junction formation and integrity.
MedLine Citation:
PMID:  23366737     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
In this paper, we study segmentation of tight junctions and analyze the formation and integrity of tight junctions in large-scale confocal image stacks, a challenging biological problem because of the low spatial resolution images and the presence of breaks in tight junction structure. We present an automated, three-step processing approach for tight junction analysis. In our approach, we first localize each individual nucleus in the image by using thresholding, morphological filters and active contours. By using each nucleus position as a seed point, we automatically segment the cell body based on the active contour. We then use an intensity-based skeletonization algorithm to generate the boundary regions for each cell, and features are extracted from tight junctions associated with each cell to assess tight junction continuity. Based on qualitative results and quantitative comparisons, we show that we are able to automatically segment tight junctions and compute relevant features that provide a quantitative measure of tight junction formation to which the permeability of the cell monolayer can ultimately be correlated.
Authors:
Mahmut Karakaya; Ryan A Kerekes; Jennifer L Morrell-Falvey; Carmen M Foster; Scott T Retterer
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Publication Detail:
Type:  Journal Article; Research Support, U.S. Gov't, Non-P.H.S.    
Journal Detail:
Title:  Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference     Volume:  2012     ISSN:  1557-170X     ISO Abbreviation:  Conf Proc IEEE Eng Med Biol Soc     Publication Date:  2012  
Date Detail:
Created Date:  2013-01-31     Completed Date:  2013-07-23     Revised Date:  2014-08-21    
Medline Journal Info:
Nlm Unique ID:  101243413     Medline TA:  Conf Proc IEEE Eng Med Biol Soc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  3724-7     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Cell Nucleus / metabolism
Human Umbilical Vein Endothelial Cells / cytology,  metabolism
Humans
Imaging, Three-Dimensional
Tight Junctions / metabolism*
Zonula Occludens-1 Protein / metabolism
Chemical
Reg. No./Substance:
0/Zonula Occludens-1 Protein

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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