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Rapid method of quantification of tight-junction organization using image analysis.
Terryn, Christine; Sellami, Mehdi; Fichel, Caroline; Diebold, Marie-Danielle; Gangloff, Sophie; Le Naour, Richard; Polette, Myriam; Zahm, Jean-Marie.
Afiliación
  • Terryn C; Plateforme Imagerie Cellulaire et Tissulaire, Université de Reims Champagne Ardenne, Reims, France. christine.terryn@univ-reims.fr
Cytometry A ; 83(2): 235-41, 2013 Feb.
Article en En | MEDLINE | ID: mdl-23212973
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 dedicated macro developed with Image J software. The method has been validated with simulated images displaying regular decrease of network organization. Then, the macro has been applied to immunofluorescence microscopy images of cells in culture and of tissue sections.
Asunto(s)

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Uniones Estrechas / Células Epiteliales Idioma: En Revista: Cytometry A Año: 2013 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Uniones Estrechas / Células Epiteliales Idioma: En Revista: Cytometry A Año: 2013 Tipo del documento: Article