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Basel Computational Biology Seminar
Grégory Paul Computer Vision Lab, ETH Zürich
“Towards image-‐derived quantitative models in biology:
lessons learned from astral microtubule dynamics in yeast”
Deriving quantitative models from images as a primary source of data has become prominent in modern biology, and yet, such a task remains challenging.
The common way to tackle such a problem relies on a two step process based on an ad hoc image processing pipeline. It extracts secondary data, that are used to assess the quantitative models of interest.
The main drawback of such an approach is that classical image processing pipelines are inherently digital, and assume implicitly that objects live in pixel space, whereas most of the spatio-‐temporal models of biological processes are formulated in physical space.
In our group we followed a different route and started a research program aiming at establishing a sound mathematical and computational framework for model-‐based image processing. Using examples from astral microtubule dynamics in yeast will show our preliminary results in this direction, with an emphasis on the open problems and challenges.
Date: Monday, December 14th, 2015
Time: 16:00
Room: Lounge (13th floor), Klingelbergstrasse 61
Contact: Thomas Julou (thomas.julou@unibas.ch)
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