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The complexity of cellular networks is an outstanding challenge for documentation, visualisation and mathematical modelling. In this project, we develop a new way to describe these networks that minimises the combinatorial complexity and allows an automatic visualisation and export of mathematical (ODE/rulebased) models.
AgED performs automatic feature extraction from your image data and allows for their visualization and management.
AgED relies on Elliptic Fourier Transcriptors to extract features from large quantities of image data. These features can then be visualized and you can evaluate them in a statistical manner.
This type of analysis is particularly worthwile in the assessment of biological experiments. Elliptic Fourier Descriptors have been applied in a large range of applications in...