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BEGIN:VEVENT
UID:DSC-21971
DTSTART;TZID=Europe/Berlin:20250619T110000
SEQUENCE:1750311428
TRANSP:OPAQUE
DTEND;TZID=Europe/Berlin:20250619T120000
URL:https://dresden-science-calendar.org/calendar/de/detail/21971
LOCATION:MPI-CBG\, Pfotenhauerstraße 10801307 Dresden
SUMMARY:Betz: Quantifying intracellular mechanics by a mechanical fingerpri
 nt and a new observable to detected broken detailed balance
CLASS:PUBLIC
DESCRIPTION:Speaker: Timo Betz\nInstitute of Speaker: Faculty of Physics\, 
 Georg-August-Universität\, Göttingen\nTopics:\n\n Location:\n  Name: MPI
 -CBG (MPI-CBG CBG Large Auditorium)\n  Street: Pfotenhauerstraße 108\n  C
 ity: 01307 Dresden\n  Phone: +49 351 210-0\n  Fax: +49 351 210-2000\nDescr
 iption: Many biological systems rely on fundamental physical principles fo
 r their proper function. Mechanical processes such as force generation\, a
 nd the adaptation of stiffness and viscosity\, have been successfully appl
 ied to address complex biomedical questions using physical concepts. These
  advances have been driven largely by innovative methods that enable the q
 uantification of biological processes and the development of theoretical m
 odels with high predictive power. In this presentation\, I will discuss ou
 r recent approaches for studying active force generation and mobility acro
 ss various biological systems and length scales. Beginning with an overvie
 w of the challenges in mechanical measurements at the micro- and nanoscale
  within living systems\, I will highlight examples where these methods hav
 e successfully explained the motion of particles inside living cells\, the
  physical fluidization of the cytosol during cell division\, and the devel
 opment of mechanical fingerprints to classify different cell types. To ext
 end this framework\, we introduce a novel observable called the mean-back 
 relaxation. This measure\, related to the well-known mean squared displace
 ment\, offers the unique ability to detect non-equilibrium processes and b
 roken detailed balance even in scenarios where traditional trajectory-base
 d analyses fail to capture non-equilibrium components. We demonstrate that
  this quantity provides a robust measure of activity\, both in controlled 
 experimental setups and in complex materials such as living cells.
DTSTAMP:20260707T101255Z
CREATED:20250509T053856Z
LAST-MODIFIED:20250619T053708Z
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