2012
DOI: 10.1002/cyto.a.22239
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Rapid method of quantification of tight‐junction organization using image analysis

Abstract: The spatial organization of proteins in a cell population or in tissues is an important parameter to study the functionality of biological specimens. In this article, we have focused on tight junctions which form network-like features in immunofluorescence microscopy images. Usually, the organization or disorganization of tight junctions is noticed qualitatively. The aim of this article is to present a simple method to quantify the organization level of tight junction network using image analysis with a dedica… Show more

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Cited by 24 publications
(26 citation statements)
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“…ImageJ, a public-domain Java image processing program that is freely available from the National Institutes of Health (http://rsb.info.nih.gov/ij/), has been shown to be extremely effective at measuring the area of elliptical or irregularly shaped selections. [23][24][25] The program simplifies area calculations by digitally measuring the number of pixels within a selection. As such, it may be easily be applied to the previously mentioned glenoid bone loss quantification schemes for enhancement of accuracy in measuring the area of a best-fit circle, as well as the area of the irregularly shaped bone defect.…”
Section: Discussionmentioning
confidence: 99%
“…ImageJ, a public-domain Java image processing program that is freely available from the National Institutes of Health (http://rsb.info.nih.gov/ij/), has been shown to be extremely effective at measuring the area of elliptical or irregularly shaped selections. [23][24][25] The program simplifies area calculations by digitally measuring the number of pixels within a selection. As such, it may be easily be applied to the previously mentioned glenoid bone loss quantification schemes for enhancement of accuracy in measuring the area of a best-fit circle, as well as the area of the irregularly shaped bone defect.…”
Section: Discussionmentioning
confidence: 99%
“…Immunofluorescent images were obtained using an Olympus FV-1000 confocal microscope (Olympus Corporation, Tokyo, Japan). The tight junction organization rate (TiJOR) was calculated using an ImageJ software macro (88) to evaluate the damage to tight junction networks. TiJOR (entire image) was calculated by evaluating the entire representative images obtained by confocal microscopy.…”
Section: Methodsmentioning
confidence: 99%
“…The formation intensity and solidity of tight junctions were analysed using image quantification using Fuji 58 based upon an adapted method previously reported by Terryn et al 59 and McNeil et al 60 . In brief, a baseline threshold was determined prior to analysis.…”
Section: Setting Up the Quasi Vivo 600mentioning
confidence: 99%