Killam Seminar Series: Decoding the Diversity of Neuronal Nanostructures With AI-Assisted Nanoscopy
Gr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 travaux passionnent ses chercheurs et ceux de l鈥橴niversit茅 海角社区.听
Pour assister en personne,听
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Flavie Lavoie-Cardinal
Professeure associ茅e, D茅partement de psychiatrie et de neuroscience, Universit茅 Laval
贬么迟别:听thomas.stroh [at] mcgill.ca (Thomas Stroh)
Abstract:听Understanding the molecular mechanisms underlying synaptic transmission is challenging in part because synapses are tiny, exhibit a wide range of shapes and internal structures and undergo activity-dependent plasticity. Optical nanoscopy allows us to characterize the molecular dynamics and interactions of synaptic proteins at their scale: the nanoscale. Developing AI-assisted frameworks for optical nanoscopy allows real-time optimization of multi-modal live-cell imaging as well as for quantitative high throughput image analysis. We developed AI approaches for: 1) quantitative analysis of neuronal protein organization in optical nanoscopy images and 2) the optimization of image acquisition schemes, especially in living neuronal samples. This allows us to characterize 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 that may influence synaptic connections and thus to discover new mechanisms influencing the proper functioning of our brain.
