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Updated: Apr 11, 2026

An Analytical Tool that Quantifies Cellular Morphology Changes from Three-dimensional Fluorescence Images

An Analytical Tool that Quantifies Cellular Morphology Changes from Three-dimensional Fluorescence Images

Published on: August 31, 2012

TiQuant: software for tissue analysis, quantification and surface reconstruction.

Adrian Friebel¹, Johannes Neitsch¹, Tim Johann¹

¹Interdisciplinary Centre for Bioinformatics (IZBI), University of Leipzig, Germany.

Bioinformatics (Oxford, England)

|June 5, 2015

Summary

This summary is machine-generated.

TiQuant is a software tool for quantifying biological tissues from imaging data. It enables novel 3D surface reconstruction for systems biology tissue modeling.

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Area of Science:

Biomedical Imaging
Systems Biology
Computational Biology

Background:

TiQuant is a modular software tool designed for efficient quantification of biological tissues.
It processes volume data from various biomedical imaging modalities.
The tool offers versatile image and volume processing chains validated for different tissue types.

Purpose of the Study:

To introduce TiQuant, a novel software for biological tissue quantification.
To enable the reconstruction of three-dimensional surfaces of biological systems.
To support tissue modeling in systems biology.

Main Methods:

TiQuant utilizes a modular software architecture.
It incorporates versatile image and volume processing chains.
A novel method for three-dimensional surface reconstruction is implemented.

Main Results:

TiQuant facilitates efficient quantification of biological tissues.
It allows for the reconstruction of 3D surfaces not easily obtainable experimentally.
The software supports tissue modeling applications in systems biology.

Conclusions:

TiQuant provides a valuable tool for biological tissue analysis and modeling.
Its novel surface reconstruction method enhances systems biology research.
The software is experimentally verified for various tissue types.