The aim of this paper is to present new tools for visualization and quantification in dynamic processes. We concentrate on the concise description of local quantitative values and on a easy-to-apprehend way to visualize them. Our approach is based on registration in order to obtain a transformation for the whole image space. This transformation permits us to obtain local values such as bending or velocity in each pixel. We define a density function using this values and apply confinement tree analysis on them. We present an application in cell biology where we can obtain new insight into the elasticity properties of the nuclear lamina.
CITATION STYLE
Mattes, J., Fieres, J., Beaudouin, J., Gerlich, D., Ellenberg, J., & Eils, R. (2001). New tools for visualization and quantification in dynamic processes: Application to the nuclear envelope dynamics during mitosis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2208, pp. 1323–1325). Springer Verlag. https://doi.org/10.1007/3-540-45468-3_214
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