M.Sc. Robert Bensch
	Chair of Pattern Recognition and Image Processing Institute for Computer Science Albert-Ludwigs-University Georges-Koehler-Allee 052, room 01-045 D-79110 Freiburg i.Br., Germany
	Telefon:	+49-(0)761-203-8215
	Fax:	+49-(0)761-203-8262
	Email:

Scientific Interests

• Segmentation and analysis of 3D/4D (3D+time) biological data

Current Projects

• 3D and 4D Image Analysis for the 4D-Analyser
  (Excellence Cluster Bioss, Area D)
• 3D/4D Analysis of Protoplasts
  (Cooperation with Prof. Dr. Klaus Palme, Institute of Biology 2, Universität Freiburg and Prof. Dr. Robert Murphy, Carnegie Mellon University, Pittsburgh)
• Analysis of Pattern Formation of Leaf Trichomes in Arabidopsis
  (Cooperation with Dr. Christian Fleck, Center for Biological Systems Analysis, Freiburg and Prof. Dr. Martin Hülskamp, Botanisches Institut III, Universität zu Köln)

Supervised Thesis

Jan 2009

Johannes Schwenk "Implementierung, Test und Integration eines plattformunabhängigen Kamera-Moduls für das Projekt CAR" Studienarbeit

Awards

2008	LBBW-Immobilien-Förderpreis for master thesis "Quantitative Analyse der Musterbildungsprozesse von Trichomen in 4D Volumendaten"

Publications

[1]	R. Bensch, O. Ronneberger, B. Greese, C. Fleck, K. Wester, M. Hülskamp, and H. Burkhardt "Image analysis of arabidopsis trichome patterning in 4D confocal datasets" accepted for publication in 6th IEEE International Symposium on Biomedical Imaging: From Nano to Macro. ISBI 2009.

Master Thesis

Quantitative Analysis of Pattern Formation of Trichomes in 4D Volumetric Datasets
(original title: "Quantitative Analyse der Musterbildungsprozesse von Trichomen in 4D Volumendaten")



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


Subtasks:

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

Last modified on 25.04.09