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UID:20250401T110917EDT-5279eVWoIG@132.216.98.100
DTSTAMP:20250401T150917Z
DESCRIPTION:\nGr芒ce 脿 la g茅n茅rosit茅 des fiducies Killam\, Le Neuro convoque
lors d鈥檜ne s茅rie de s茅minaires des conf茅renciers d鈥檈xception dont les tra
vaux passionnent ses chercheurs et ceux de l鈥橴niversit茅 看片视频.聽\n\n\nPour
assister en personne\,聽inscrivez-vous ici\n\nPour regarder via Vimeo\,聽cl
iquez ici\n\n\nFlavie Lavoie-Cardinal\n\nProfesseure associ茅e\, D茅partemen
t de psychiatrie et de neuroscience\, Universit茅 Laval\n\nH么te:聽thomas.str
oh [at] mcgill.ca (Thomas Stroh)\n\nAbstract:聽Understanding the molecular
mechanisms underlying synaptic transmission is challenging in part because
synapses are tiny\, exhibit a wide range of shapes and internal structure
s and undergo activity-dependent plasticity. Optical nanoscopy allows us t
o characterize the molecular dynamics and interactions of synaptic protein
s at their scale: the nanoscale. Developing AI-assisted frameworks for opt
ical nanoscopy allows real-time optimization of multi-modal live-cell imag
ing as well as for quantitative high throughput image analysis. We develop
ed AI approaches for: 1) quantitative analysis of neuronal protein organiz
ation in optical nanoscopy images and 2) the optimization of image acquisi
tion schemes\, especially in living neuronal samples. This allows us to ch
aracterize activity-dependent remodeling of synaptic nanostructures and lo
calized modulation of synaptic activity. The development of data-driven mi
croscopy is transforming our ability to discover and characterize rare phe
nomena that may influence synaptic connections and thus to discover new me
chanisms 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/fr/channels/event/killam-seminar-series-dec
oding-diversity-neuronal-nanostructures-ai-assisted-nanoscopy-359677
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