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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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The digital bee brain: integrating and managing neurons in a common 3D reference system

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

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.