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Author

  • Lindow, Norbert (35)
  • Hege, Hans-Christian (25)
  • Baum, Daniel (24)
  • Prohaska, Steffen (9)
  • Müller-Reichert, Thomas (8)
  • Redemann, Stefanie (7)
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  • 2020 (3)
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  • Article (17)
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  • DNA (1)
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  • atomic radii (1)
  • brushing & linking (1)
  • cavity analysis (1)
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Institute

  • Visual Data Analysis (35)
  • Image Analysis in Biology and Materials Science (15)
  • Visual Data Analysis in Science and Engineering (15)
  • Visual and Data-centric Computing (3)

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Trajectory Density Projection for Vector Field Visualization (2013)
Kuhn, Alexander ; Lindow, Norbert ; Günther, Tobias ; Wiebel, Alexander ; Theisel, Holger ; Hege, Hans-Christian
Exploring cavity dynamics in biomolecular systems (2013)
Lindow, Norbert ; Baum, Daniel ; Bondar, Ana-Nicoleta ; Hege, Hans-Christian
Voronoi-Based Extraction and Visualization of Molecular Paths (2011)
Lindow, Norbert ; Baum, Daniel ; Hege, Hans-Christian
Interactive Rendering of Materials and Biological Structures on Atomic and Nanoscopic Scale (2012)
Lindow, Norbert ; Baum, Daniel ; Hege, Hans-Christian
Dynamic Channels in Biomolecular Systems: Path Analysis and Visualization (2012)
Lindow, Norbert ; Baum, Daniel ; Bondar, Ana-Nicoleta ; Hege, Hans-Christian
Perceptually Linear Parameter Variations (2012)
Lindow, Norbert ; Baum, Daniel ; Hege, Hans-Christian
Accelerated Visualization of Dynamic Molecular Surfaces (2010)
Lindow, Norbert ; Baum, Daniel ; Prohaska, Steffen ; Hege, Hans-Christian
Dynamische Moleküloberflächen (2010)
Lindow, Norbert
Correlative Tomography – Extraction of Reliable Information with Adequate Resolution from mm Scale Down to Sub-nm Scale (2014)
Mücklich, Frank ; Webel, Johannes ; Aboulfadl, Hisham ; Lindow, Norbert ; Hege, Hans-Christian
Quantification of Three-Dimensional Spindle Architecture (2018)
Lindow, Norbert ; Redemann, Stefanie ; Fabig, Gunar ; Müller-Reichert, Thomas ; Prohaska, Steffen
Mitotic and meiotic spindles are microtubule-based structures to faithfully segregate chromosomes. Electron tomography is currently the method of choice to analyze the three-dimensional architecture of both types of spindles. Over the years, we have developed methods and software for automatic segmentation and stitching of microtubules in serial sections for large-scale reconstructions. Three-dimensional reconstruction of microtubules, however, is only the first step towards biological insight. The second step is the analysis of the structural data to derive measurable spindle properties. Here, we present a comprehensive set of techniques to quantify spindle parameters. These techniques provide quantitative analyses of specific microtubule classes and are applicable to a variety of tomographic reconstructions of spindles from different organisms.
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