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BEGIN:VEVENT
UID:DSC-19258
DTSTART;TZID=Europe/Berlin:20221114T140000
SEQUENCE:1668494403
TRANSP:OPAQUE
DTEND;TZID=Europe/Berlin:20221114T150000
URL:https://dresden-science-calendar.org/calendar/de/detail/19258
LOCATION:MPI-CBG\, Pfotenhauerstraße 10801307 Dresden
SUMMARY:Berger: Active Processes in Biology: Observing\, Describing\, Pertu
 rbing\, and Controlling
CLASS:PUBLIC
DESCRIPTION:Speaker: Florian Berger\nInstitute of Speaker: Cell Biology\, N
 eurobiology and Biophysics\, Utrecht University\, The Netherlands\nTopics:
 \n\n Location:\n  Name: MPI-CBG (CSBD SR Top Floor)\n  Street: Pfotenhauer
 straße 108\n  City: 01307 Dresden\n  Phone: +49 351 210-0\n  Fax: +49 351
  210-2000\nDescription: The physical understanding of a system is based on
  four steps: observing\, describing\, perturbing\, and controlling. While 
 this strategy was very successful in Physics to study inanimate matter\, i
 t poses new challenges when applied to active biological systems. In this 
 presentation\, I will explain our latest attempts to overcome some of thes
 e challenges and discuss what we can learn from them.  For a quantitative 
 and reliable observation of moving cells\, we use deep-learning models to 
 perform image-to-image translation tasks. To connect molecular mechanisms 
 of the force production of molecular motors to cellular behavior\, we use 
 physical descriptions that we implement in large-scale simulations. In par
 ticular\, we show that tight regulation of the microtubule cytoskeleton by
  molecular motors in T cells is necessary for these cells to be activated 
 when encountering pathogen cells. From the perturbation of active oscillat
 ion of hair cells in the inner ear\, we can infer the energy that they dis
 sipate. Very recently we built a closed-loop feedback microscope to contro
 l cellular and intracellular activity. We believe that the spatio-temporal
  control of active biological systems provides a novel way to study and un
 derstand their underlying functional principles.  Join Zoom Meeting https:
 //us02web.zoom.us/j/86493881547?pwd=VW9pcjVOTmlSL0NIWGJnWGVMczg1dz09  Meet
 ing ID: 864 9388 1547 Passcode: 327800
DTSTAMP:20260409T215637Z
CREATED:20221108T063821Z
LAST-MODIFIED:20221115T064003Z
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