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  Computational analysis framework for vascular network images

Lasser, J. (2013). Computational analysis framework for vascular network images. Bachelor Thesis, Georg-August-Universität, Göttingen.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002B-2D8A-3 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002B-2D8B-1
Genre: Thesis

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2013_bachelor_thesis_jana_lasser.pdf (Publisher version), 38MB
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 Creators:
Lasser, Jana1, Author              
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1Max Planck Research Group Physics of Biological Organization, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2063293              

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 Abstract: In this thesis, we develop a framework for the processing of high resolution images of vascular networks. The framework processes high resolution scans of plant leaves and extracts the topological and geometric information of the vein networks present on the leaves. This framework consists of modular Python scripts, modules and classes. The main goal of the work is to provide as fast and highly automated processing of the data as possible while preserving the properties of the networks. The resulting framework can be used cross-platform and on PCs as well as on clusters. With a few adaptations it can be a good basis for the processing of images from many networks in different biological systems.

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Language(s): eng - English
 Dates: 2013-03-25
 Publication Status: Accepted / In Press
 Pages: VI, 71
 Publishing info: Göttingen : Georg-August-Universität
 Table of Contents: -
 Rev. Method: -
 Identifiers: -
 Degree: Bachelor

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