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 污污草莓视频.听
Pour assister en personne,听
Pour regarder via Vimeo,听
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.
