|
|
| Contributed Talk, Friday, 15:30 – 15:45 |
|
|
|
| Mechanical cell phenotyping
using microscopic imaging and computational modeling
Evgeny Gladilin1, Paula
Gonzalez2, Roland Eils1,2
|
1
|
|
German Cancer Research Center, Heidelberg,
Germany |
|
|
|
|
2
|
|
BioQuant, University Heidelberg,
Germany |
|
|
|
| Contact:
| Website |
|
|
Mechanical factors play an essential role in many basic biological phenomena
such as cell migration, growth and differentiation. Perception, transduction
and generation of mechanical forces is required for normal development
and functioning of single cells and multicellular organisms. Irregularities
in mechanical properties of the cellular structures are known to be related
to a number of severe diseases, including cancer and laminopathies. Due
to a number of natural and technical reasons, investigation of constitutive
properties of cellular structures in situ remains a challenging task. Experimental
techniques that are designed for single cell micromanipulation do not allow
measurements of a statistically significant amount of cells. Methods that
are based on application of contacting forces onto cellular boundaries
cannot be used for non-destructive probing intracellular structures, i.e.
the cell nucleus. To overcome shortcomings of the conventional techniques,
we develop methods for determination of mechanical properties of single
cells and intracellular structures using microscopic imaging and constitutive
modeling. The core idea of our approach consists in reformulation of parameter
estimation problem as image registration problem, i.e., material constants
are determined as parameters of a constitutive model that minimize dissimilarity
between computationally predicted and experimentally observed images. In
this presentation, we demonstrate application of this framework to quantitative
analysis of cellular and nuclear mechanics on the basis of image data from
different experimental modalities. |
|
