Team:ETH Zurich/Model

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Introduction Table
Modelling.
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Models
Overview
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Diffusion Model
Describes the diffusion of molecules of interest in the air, informing us about the distance at which the presence of a molecule source can be detected.
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Motility Model
Models the chemotactic response of the bacteria to the molecule of interest. It informed us about what range of concentrations can be sensed.
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Integrated Models
Combining all models, we could generate synthetic measurement data that we use for in-silico testing and improvement of the path planning algorithm.
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Bubbeling Model
Captures the solution of the analytes in the medium. We use this model to determine the concentration of our dissolved molecule in the medium.
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Holographic Imaging Model
Optical modeling of our original lensless microscope setup revealed its unfeasibility with commercial sensors, leading us to include magnification lenses.
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Split Protein
Protein - DNA docking guided the set-up of our screening system. Moreover, modeling the kinetics of split luciferase revealed that the concentration of Tar-EnvZ is the most critical parameter, therefore we decided to place it under an inducible promoter for easy tuning.
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Diffusion in medium
By modeling the diffusion of the analyte in agar we were able to predict the plating time such that the concentration gradient is optimal for library screening.
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