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Classification of Epithelial Tissues: Overview

Classification of Epithelial Tissues: Overview

Epithelial tissues are classified according to the shape of the cells and the number of cell layers formed. Cell shapes can be squamous (flattened and thin), cuboidal (square-like, as wide as it is tall), or columnar (rectangular, taller than it is wide). Additionally, the nucleus shape helps identify the type of epithelial cells. Squamous cells have flattened disc-shaped nuclei, cuboidal cells have spherical nuclei, and columnar cells have elongated nuclei.
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Related Experiment Video

Updated: Mar 13, 2026

Quantitation of Protein Expression and Co-localization Using Multiplexed Immuno-histochemical Staining and Multispectral Imaging

Quantitation of Protein Expression and Co-localization Using Multiplexed Immuno-histochemical Staining and Multispectral Imaging

Published on: April 8, 2016

Segmentation and Quantitative Analysis of Epithelial Tissues.

Benoit Aigouy¹, Daiki Umetsu², Suzanne Eaton³

¹IBDM-Institut de Biologie du Développement de Marseille, Campus de Luminy case 907, 13288, Marseille, cedex 9, France.

Methods in Molecular Biology (Clifton, N.J.)

|October 13, 2016

Summary

Tissue Analyzer is a new free tool for analyzing epithelial tissues. It segments and monitors epithelial cells, enabling large-scale tissue dynamics studies previously hindered by a lack of dedicated informatics tools.

Keywords:

Cell tracking Cells Epithelia Junctional remodeling Junctions Live imaging Quantitative biology Segmentation Tissue Analyzer

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Engineering Three-dimensional Epithelial Tissues Embedded within Extracellular Matrix

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Last Updated: Mar 13, 2026

Quantitation of Protein Expression and Co-localization Using Multiplexed Immuno-histochemical Staining and Multispectral Imaging

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Published on: April 8, 2016

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Engineering Three-dimensional Epithelial Tissues Embedded within Extracellular Matrix

Engineering Three-dimensional Epithelial Tissues Embedded within Extracellular Matrix

Published on: July 10, 2016

Area of Science:

Cell Biology
Tissue Engineering
Bioinformatics

Background:

Epithelial tissues are dynamic and crucial for regulating environmental exchange.
Studying epithelial tissue dynamics at scale is challenging due to cell numbers and lack of specialized informatics tools.

Purpose of the Study:

To introduce Tissue Analyzer, a free software tool.
To enable segmentation and analysis of epithelial cells and monitor tissue dynamics.

Main Methods:

Development of a free, dedicated informatics tool named Tissue Analyzer.
Application of the tool for segmenting and analyzing epithelial cells in live imaging studies.

Main Results:

Tissue Analyzer facilitates the analysis of epithelial cell populations.
The tool enables monitoring of tissue-scale dynamics in epithelial tissues.

Conclusions:

Tissue Analyzer overcomes previous limitations in studying epithelial tissue dynamics.
This tool supports large-scale, in-depth analysis of epithelial tissues.