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SUMMARY: Model-based image analysis of a tethered Brownian fibre for shear
  stress sensing  - Meurig Gallagher (University of Birmingham)
DTSTART:20180208T130000Z
DTEND:20180208T140000Z
UID:TALK100177@talks.cam.ac.uk
CONTACT:Anne Herrmann
DESCRIPTION:The measurement of fluid dynamic shear stress acting on a biol
 ogically relevant surface is a challenging problem\, particularly in the c
 omplex environment of the vasculature. While an experimental method for th
 e direct detection of wall shear stress via the imaging of a synthetic bio
 logy nanorod has recently been developed\, the data interpretation so far 
 has been limited to phenomenological random walk modelling\, small angle a
 pproximation\, and image analysis techniques which do not take into accoun
 t the production of an image from a three-dimensional subject. In this tal
 k I will present a mathematical and statistical framework to estimate shea
 r stress from rapid imaging sequences based firstly on stochastic modellin
 g of the dynamics of a tethered Brownian fibre in shear flow\, and secondl
 y on a novel model-based image analysis\, which reconstructs fibre positio
 ns by solving the inverse problem of image formation. I will present the t
 esting of this framework on experimental data\, providing the first mechan
 istically rational analysis of the novel assay. This work further develops
  the established theory for an untethered particle in a semi-dilute suspen
 sion\, which is of relevance to\, for example\, the study of Brownian nano
 wires without flow\, and presents new ideas in the field of multidisciplin
 ary image analysis.
LOCATION:MR11\, Centre for Mathematical Sciences\, Wilberforce Road\, Camb
 ridge
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