Statistical Modelling of Microorganisms

Information

• Publication Type: Bachelor Thesis
• Workgroup(s)/Project(s):
  • Visualization Group
• Date: February 2017
• Date (Start): October 2016
• Date (End): February 2017
• Matrikelnummer: 1107772
• First Supervisor: Ivan Viola

Abstract

Models of a biological organism can support scientists in various fields, such as medicine, pharmacy or biology. When precise macromolecular composition of an organism is to be captured by the model, tens of thousands of protein macromolecules have to be positioned in order to create the model. This process is complicated and time consuming. In this thesis we propose an approach based on statistical modeling of microorganisms, which enables the creation of such scenes with minimal effort. The modeling is based on decision trees and probability calculations. The basic principle is to start with a random distribution. Then subsequently adjustments from the user on one or several objects, such as molecules, are gathered. These serve as examples to change the orientation and location of all other objects in the scene. The approach is realized in a tool implemented in Unity3D.

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BibTeX

@bachelorsthesis{Wihann_2017,
  title =      "Statistical Modelling of Microorganisms",
  author =     "Theresa Wihann",
  year =       "2017",
  abstract =   "Models of a biological organism can support scientists in
               various fields, such as medicine, pharmacy or biology. When
               precise macromolecular composition of an organism is to be
               captured by the model, tens of thousands of protein
               macromolecules have to be positioned in order to create the
               model. This process is complicated and time consuming. In
               this thesis we propose an approach based on statistical
               modeling of microorganisms, which enables the creation of
               such scenes with minimal effort. The modeling is based on
               decision trees and probability calculations. The basic
               principle is to start with a random distribution. Then
               subsequently adjustments from the user on one or several
               objects, such as molecules, are gathered. These serve as
               examples to change the orientation and location of all other
               objects in the scene. The approach is realized in a tool
               implemented in Unity3D.  ",
  month =      feb,
  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/2017/Wihann_2017/",
}