TY  - GEN
Y1  - 2017///
ID  - heidok22837
AV  - public
TI  - Image analysis and modeling of cellular organization in micropatterned environments
CY  - Heidelberg
N2  - In experimental cellular biophysics, it has become standard practice to control the shape and organization of adherent cells. For this purpose, micropatterned environments are being used, which are fabricated using techniques from materials science. Thereby, cell variability can be reduced, which facilitates statistical analysis and allows for a detailed comparison to mathematical models. In this thesis we combine image processing with computational modeling and use the normalization properties of micropatterned environments to investigate cellular organization. In the first part, we apply image analysis techniques to study cell shape and internal organization. For this, we first analyze how contractile polymer bundles, so-called stress fibers, determine the shape of adherent cells in two and three dimensions. Next, we investigate the detailed structure of such bundles and quantify their influence on cellular contraction dynamics. In the second part of the thesis we develop different computational modeling approaches to gain deeper understanding into the interplay between cell shape and the microtubule network. We propose models that are based either on stochastic simulations of polymers or on an effective continuum theory for liquid crystals. With these models we can explain experimental results and predict the internal architecture of cells adhering to micropatterned substrates.
UR  - https://archiv.ub.uni-heidelberg.de/volltextserver/22837/
A1  - Linke, Marco
ER  -