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SUMMARY:Unraveling the dynamics of living systems: what can noisy trajecto
 ries teach us?    - Chase Broedersz (LMU Munich)
DTSTART:20190219T130000Z
DTEND:20190219T140000Z
UID:TALK116269@talks.cam.ac.uk
CONTACT:Professor Mike Cates
DESCRIPTION:The non-equilibrium dynamics of living systems manifests over 
 a broad range of scales: from the power strokes of a molecular motor\, to 
 cytoplasmic fluctuations and beating flagella\, all the way to migrating c
 ells. By observing the dynamics of such systems\, we obtain stochastic tra
 jectories. What do these noisy trajectories teach us about the underlying 
 physics of the system?\n\n\nIn the first part\, I will discuss how to extr
 act information from steady-state fluctuations in active biological assemb
 lies. Using a simple model\, I will argue that the scaling behaviour of no
 n-equilibrium measures can reveal physical properties of systems architect
 ure and the internal driving. In the second part of this talk\, we conside
 r trajectories of whole cells to unravel the features of their dynamics. S
 pecifically\, we study the stochastic dynamics of cells migrating across a
  physical obstacle in a confining 'two-state' micropattern. Using single-c
 ell trajectories\, we infer an equation of cell motion that decomposes the
  dynamics into deterministic and stochastic contributions. This data-drive
 n approach reveals that such confined cells exhibit intricate non-linear d
 ynamics.
LOCATION:MR11\, CMS
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