Three-Dimensional Multimodality Modelling by Integration of High-Resolution Interindividual Atlases and Functional MALDI-IMS Data

  • Felix Bollenbeck
  • Stephanie Kaspar
  • Hans-Peter Mock
  • Diana Weier
  • Udo Seiffert
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5462)

Abstract

We present an approach for the analysis of phenotypic diversity in morphology and internal composition of biological specimen by means of high resolution 3-D models of developing barley grains. Three-dimensional histological structures are resolved by reconstructing specimen from large stacks of serially sectioned material, which is a preliminary for the spatial assignment of key tissues in differentiation. By sampling and constructing models at different developmental time steps from multiple individuals, we address two aims in a computational phenomics context: i) Generation of averaging atlases as structural references for integration of functional data, and ii) building the basis for a mathematical model of grain morphogenesis. We have established an algorithmic pipeline for automated processing of large image stacks towards phenotypic 3-D models and data-integration, comprising registration, multi-label segmentation, and alignment of functional measurements. The described algorithms allow high-throughput reconstruction and tissue recognition of datasets comprising thousands of images. The usefulness of the approach is demonstrated by automated model generation, allowing volumetric measurements of tissue composition, three-dimensional analysis of diversity, and the integration of MALDI-IMS data by mutual information based registration, which is a significant contribution to a systematic analysis of differentiation and development.

Keywords

Plant Phenotyping 3-D Modelling Computational Phenomics Multimodality Registration 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Felix Bollenbeck
    • 1
  • Stephanie Kaspar
    • 2
  • Hans-Peter Mock
    • 2
  • Diana Weier
    • 2
  • Udo Seiffert
    • 1
  1. 1.Fraunhofer Institute for Factory Operation and Automation IFFMagdeburgGermany
  2. 2.Leibniz Institute of Plant Genetics and Crop Plant ResearchGaterslebenGermany

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