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    |  |-Nikos Canterakis
    |  |-Robert Bensch
    | [+]Janis Fehr
    |  |-Margret Keuper
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    |  |-Wan Nural Jawahir
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    |  |-Matthias Schlachter
    |  |-Matthias Schmieder
    |  |-Alexander Streicher
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    |  |-Prof. Dr. Zhe-Ming Lu
    |  |-Yonghua Xie
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M.Sc. Robert Bensch
Chair of Pattern Recognition and Image Processing
Institute for Computer Science
Albert-Ludwigs-University
Georges-Koehler-Allee 052, room 01-021
D-79110 Freiburg i.Br., Germany
Telefon: +49-(0)761-203-8272
Fax: +49-(0)761-203-8262
Email: bensch AT informatik.uni-freiburg.de

Master Thesis

    Quantitative analysis of patterning processes of trichomes in 4D volumetric data

    The leaf hairs of Arabidopsis thaliana (trichomes) are the most applicable cell types for functional analysis of patterning processes. During cell growth different processes provide for a regular patterning of the trichomes. There is a need of quantitative measuring data for the analysis of these processes and their simulation with mathematical models.
    The purpose of this master thesis is to provide a feasibility study of the automatical measurement of the leaf surface and the positions of the trichomes. Furthermore the possibility of tracking the trichomes over time should be investigated. The raw data are 4D volumetric data (3D + time) of the Arabidopsis leaves and the trichomes. For pattern recognition different methods (local invariants, graph cut, normalization, elastic registration) should be combined such that a preferably low dependency on the capturing parameters is achieved and the methods fit to a preferably wide application field.


    Subtasks:

    • Alignment of the leaves into a reference coordinate system
    • Extraction of the leaf surface and the leaf edge
    • Localization of the trichomes
    • Find correspondences between two consecutive data sets