Literature DB >> 26040455

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

Adrian Friebel1, Johannes Neitsch1, Tim Johann1, Seddik Hammad2, Jan G Hengstler3, Dirk Drasdo4, Stefan Hoehme4.   

Abstract

MOTIVATION: TiQuant is a modular software tool for efficient quantification of biological tissues based on volume data obtained by biomedical image modalities. It includes a number of versatile image and volume processing chains tailored to the analysis of different tissue types which have been experimentally verified. TiQuant implements a novel method for the reconstruction of three-dimensional surfaces of biological systems, data that often cannot be obtained experimentally but which is of utmost importance for tissue modelling in systems biology.
AVAILABILITY AND IMPLEMENTATION: TiQuant is freely available for non-commercial use at msysbio.com/tiquant. Windows, OSX and Linux are supported. CONTACT: hoehme@uni-leipzig.de SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
© The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Mesh:

Year:  2015        PMID: 26040455     DOI: 10.1093/bioinformatics/btv346

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  13 in total

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3.  Quantitative analysis of hepatic macro- and microvascular alterations during cirrhogenesis in the rat.

Authors:  Geert Peeters; Charlotte Debbaut; Adrian Friebel; Pieter Cornillie; Winnok H De Vos; Kasper Favere; Ingrid Vander Elst; Tim Vandecasteele; Tim Johann; Luc Van Hoorebeke; Diethard Monbaliu; Dirk Drasdo; Stefan Hoehme; Wim Laleman; Patrick Segers
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4.  A quantitative high-resolution computational mechanics cell model for growing and regenerating tissues.

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Authors:  Mohie A M Haridy; Yasser S El-Sayed
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9.  A versatile pipeline for the multi-scale digital reconstruction and quantitative analysis of 3D tissue architecture.

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Journal:  EXCLI J       Date:  2017-12-21       Impact factor: 4.068

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