Information

Abstract

Today’s neuro-biological research is often based on brains of the Drosophila Melanogaster, the commonly known fruit fly. To study the function of neuronal circuits scientists often have to compare the neuronal structures of a set of different brains. Their aim is to find out how complex behavior is generated. Therefore the scientists at the Institute of Molecular Pathology (IMP) in Vienna are using a confocal microscope to produce volumetric images of Drosophila brains. Today they have acquired more than 40.000 images and a large amount of additional data.

In many cases 3D renderings of these volumetric images are not sufficient to solve certain scientific problems especially when multiple brains have to be considered. Therefore the researchers rely on additional data which is stored in databases. The problem here is that the scientists have two different data sources without a connection between them. On the one hand there are the volumetric images and on the other hand there is the additional data which has certain relations to the brains.

This thesis proposes a software design concept to establish a connection between 3D renderings of volumetric images and additional data by using information visualizations. Highlighting techniques can be introduced to link volume visualizations of the brains to related data visualized by 2D information visualizations. Therefore the implementation of this design concept gets integrated into an existing scientific visualization environment. To evaluate this concept common neuro-biological use cases are introduced and it is described how the implementation of this design concept supports the work flow of the researchers.

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BibTeX

@mastersthesis{Bauer_Johannes_2014_IWB,
  title =      "Integration of Web-Based Information Visualizations into a
               Scientific Visualization Environment",
  author =     "Johannes Bauer",
  year =       "2014",
  abstract =   "Today’s neuro-biological research is often based on brains
               of the Drosophila Melanogaster, the commonly known fruit
               fly. To study the function of neuronal circuits scientists
               often have to compare the neuronal structures of a set of
               different brains. Their aim is to find out how complex
               behavior is generated. Therefore the scientists at the
               Institute of Molecular Pathology (IMP) in Vienna are using a
               confocal microscope to produce volumetric images of
               Drosophila brains.  Today they have acquired more than
               40.000 images and a large amount of additional data.  In
               many cases 3D renderings of these volumetric images are not
               sufficient to solve certain scientific problems especially
               when multiple brains have to be considered. Therefore the
               researchers rely on additional data which is stored in
               databases. The problem here is that the scientists have two
               different data sources without a connection between them. On
               the one hand there are the volumetric images and on the
               other hand there is the additional data which has certain
               relations to the brains.  This thesis proposes a software
               design concept to establish a connection between 3D
               renderings of volumetric images and additional data by using
               information visualizations. Highlighting techniques can be
               introduced to link volume visualizations of the brains to
               related data visualized by 2D information visualizations.
               Therefore the implementation of this design concept gets
               integrated into an existing scientific visualization
               environment. To evaluate this concept common
               neuro-biological use cases are introduced and it is
               described how the implementation of this design concept
               supports the work flow of the researchers.",
  month =      dec,
  address =    "Favoritenstrasse 9-11/E193-02, A-1040 Vienna, Austria",
  school =     "Institute of Computer Graphics and Algorithms, Vienna
               University of Technology ",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2014/Bauer_Johannes_2014_IWB/",
}