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UID:20250422T143024EDT-5942ktsrCi@132.216.98.100
DTSTAMP:20250422T183024Z
DESCRIPTION:\nSupported by the generosity of the Killam Trusts\, The Neuro'
 s Killam Seminar Series invites outstanding guest speakers whose research 
 is of interest to the scientific community at The Neuro and 91ÉçÇø Univers
 ity.\n\n\nTo attend in person\, register here\n\nTo watch via vimeo\, clic
 k here\n\n\nFlavie Lavoie-Cardinal\n\nAssociate Professor\, Department of 
 Psychiatry and Neurosicence\, Université Laval\n\nHost: thomas.stroh [at] 
 mcgill.ca (Thomas Stroh)\n\nAbstract: Understanding the molecular mechanis
 ms underlying synaptic transmission is challenging in part because synapse
 s are tiny\, exhibit a wide range of shapes and internal structures and un
 dergo activity-dependent plasticity. Optical nanoscopy allows us to charac
 terize the molecular dynamics and interactions of synaptic proteins at the
 ir scale: the nanoscale. Developing AI-assisted frameworks for optical nan
 oscopy allows real-time optimization of multi-modal live-cell imaging as w
 ell as for quantitative high throughput image analysis. We developed AI ap
 proaches for: 1) quantitative analysis of neuronal protein organization in
  optical nanoscopy images and 2) the optimization of image acquisition sch
 emes\, especially in living neuronal samples. This allows us to characteri
 ze activity-dependent remodeling of synaptic nanostructures and localized 
 modulation of synaptic activity. The development of data-driven microscopy
  is transforming our ability to discover and characterize rare phenomena t
 hat may influence synaptic connections and thus to discover new mechanisms
  influencing the proper functioning of our brain.\n
DTSTART:20241119T210000Z
DTEND:20241119T220000Z
LOCATION:de Grandpre Communications Centre\, Montreal Neurological Institut
 e\, CA\, QC\, Montreal\, H3A 2B4\, 3801 rue University
SUMMARY:Killam Seminar Series: Decoding the Diversity of Neuronal Nanostruc
 tures With AI-Assisted Nanoscopy
URL:/neuro/channels/event/killam-seminar-series-decodi
 ng-diversity-neuronal-nanostructures-ai-assisted-nanoscopy-359677
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