title: Generalized box-plot for root growth ensembles.
abstract: BACKGROUND
  In the field of root biology there has been a remarkable progress in root phenotyping, which is the efficient acquisition and quantitative description of root morphology. What is currently missing are means to efficiently explore, exchange and present the massive amount of acquired, and often time dependent root phenotypes.
  
  
  RESULTS
  In this work, we present visual summaries of root ensembles by aggregating root images with identical genetic characteristics. We use the generalized box plot concept with a new formulation of data depth. In addition to spatial distributions, we created a visual representation to encode temporal distributions associated with the development of root individuals.
  
  
  CONCLUSIONS
  The new formulation of data depth allows for much faster implementation close to interactive frame rates. This allows us to present the statistics from bootstrapping that characterize the root sample set quality. As a positive side effect of the new data-depth formulation we are able to define the geometric median for the curve ensemble, which was well received by the domain experts.
authors.affiliation: TU WIEN, Karlsplatz 13, Vienna, 1040, Austria. vad@cg.tuwien.ac.at.
authors.forename: Viktor
authors.initials: V
authors.lastname: Vad
authors.affiliation: ICMC - University of São Paulo, São Carlos, 15260, Brazil.
authors.forename: Douglas
authors.initials: D
authors.lastname: Cedrim
authors.affiliation: Gregor Mendel Institute of Molecular Plant Biology GmbH, Dr. Bohr-Gasse 3, Vienna, 1030, Austria.
authors.forename: Wolfgang
authors.initials: W
authors.lastname: Busch
authors.affiliation: TU WIEN, Karlsplatz 13, Vienna, 1040, Austria.
authors.forename: Peter
authors.initials: P
authors.lastname: Filzmoser
authors.affiliation: TU WIEN, Karlsplatz 13, Vienna, 1040, Austria.
authors.forename: Ivan
authors.initials: I
authors.lastname: Viola
mesh_terms: D016208:Databases, Factual; D005069:Evaluation Studies as Topic; D007091:Image Processing, Computer-Assisted / Q000379:methods; D008962:Models, Theoretical; D010641:Phenotype; D018517:Plant Roots / Q000254:growth & development*; D015203:Reproducibility of Results
keywords: Bioinformatics visualization; Curve ensembles; Uncertainty visualization