Models

This is the image analysis algorithm used in Cseresnyes, Kraibooj and Figge, Hessian-based quantitative image analysis of host-pathogen confrontation assays
Cytometry A. 2018 Mar;93(3):346-356. doi: 10.1002/cyto.a.23201. Code is being maintained at https://github.com/applied-systems-biology/ACAQ3.

Read.me
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This package contains code that implements the Hessian-based macrophage segmentation algorithm.
In addition, the
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In this model we condider a B cell and its surrounding area and simulate movement and binding of receptors and ligands. The receptors can either be membrane bound (B cell receptors) or soluble (antibodies). Furthermore, receptors can either have a simple spherical shape or a more realistic Y-shape. This allows comparison of the binding dynamics with regard to the dimensionality of motion (membrane-bound vs. soluble), morphology and the binding valency.