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Anja Kuß
Researcher at Zuse Institute Berlin
Publications - 7
Citations - 155
Anja Kuß is an academic researcher from Zuse Institute Berlin. The author has contributed to research in topics: Ontology (information science) & Context (language use). The author has an hindex of 6, co-authored 7 publications receiving 148 citations.
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Journal ArticleDOI
The digital bee brain: integrating and managing neurons in a common 3D reference system
Jürgen Rybak,Anja Kuß,Hans Lamecker,Stefan Zachow,Hans-Christian Hege,Matthias Lienhard,Jochen Singer,Kerstin Neubert,Randolf Menzel +8 more
TL;DR: The honeybee standard brain (HSB) serves as an interactive tool for relating morphologies of bee brain neurons and provides a reference system for functional and bibliographical properties and the most critical issue of this protocol in terms of user interaction time is drastically improved by the use of a model-based segmentation process.
Proceedings ArticleDOI
Ontology-based visualization of hierarchical neuroanatomical structures
TL;DR: This work presents a method for generating intuitive visualizations for high-level user queries to an hierarchical surface-based neuroanatomical atlas by combining a spreading activation approach for computing focus and context in an ontology with a specific level-of-detail strategy for hierarchical structures.
Journal ArticleDOI
The HoneyBee Standard Brain (HSB) – a versatile atlas tool for integrating data and data exchange in the neuroscience community
Jürgen Rybak,Anja Kuß,Wolfgang Holler,Robert Brandt,Hans-Christian Hege,Martin P. Nawrot,Martin P. Nawrot,Randolf Menzel +7 more
TL;DR: A pipeline through which confocal images of neurons can be traced and presented in a common space and the neuron's skeleton can be edited using semi-automatic and interactive tools within Amira's Filament Editor.
Determining Geometric Grain Structure from X-Ray Micro-Tomograms of Gradated Soil
TL;DR: In this article, a method to determine the geometric grain structure of gradated soil by means of X-ray micro-computed tomography and image processing is presented, where position and shape of coarse and medium-sized grains are computed by applying morphologic image operators.
Pipeline for the creation of surface-based averaged brain atlases
TL;DR: An iterative application of the pipeline for the creation of extendable surface-based anatomical insect brain atlases from 3D image data of a population of individuals is proposed, integrating successively more levels of detail.