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Learning the Diffusion Coefficient on a Cell Membrane

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A statistical method is proposed to learn what the diffusion coefficient is at any point in space of a cell membrane. The method used bayesian non-parametrics to learn this value. Learning the diffusion coefficient might be useful for understanding more about cellular dynamics.

ContributorsGallimore, Austin Lee (Author) / Presse, Steve (Thesis director) / Armbruster, Dieter (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Role of Environment on Escherichia coli Velocity

Description
OP50 Esherichia coli is a Gram-negative bacterium with a fast replication rate and can be easily manipulated, making it a model species for many science disciplines. To probe this bacterium’s search strategy, cultures were starved and the cell velocity was probed at various points later in time after perturbing the…

OP50 Esherichia coli is a Gram-negative bacterium with a fast replication rate and can be easily manipulated, making it a model species for many science disciplines. To probe this bacterium’s search strategy, cultures were starved and the cell velocity was probed at various points later in time after perturbing the buffer in which the bacteria were located. To start, we added E.coli OP50 filtrate. In yet another experiment filtrate from a Bdellovibrio bacteriovorus (Gram-negative predator) culture was added to monitor the OP50’s differential response to cues from its environment. Using MATLAB code, thousands of E.coli tracks were measured.
ContributorsSanchez, Alec Jesus (Author) / Presse, Steve (Thesis director) / Gile, Gillian (Committee member) / School of Molecular Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05