Event
Toward intelligent nanoscopy of synaptic plasticity| Title of the event | Toward intelligent nanoscopy of synaptic plasticity |
| Series | MBExC Colloquium |
| Organizer | MBExC (Cluster of Excellence Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells) |
| Speaker | Prof. Dr. Flavie Lavoie-Cardinal |
| Speaker institution | Université Laval, Québec, Canada, Department of Physics, Optics and Physical Engineering |
| Type of event | Kolloquium |
| Category | Forschung |
| Registration required | Nein |
| Details | Brain cell communication, learning, and memory depend on the activity and plasticity of synapses. Understanding the molecular mechanisms underlying synaptic transmission is challenging in part because synapses are tiny (less than a micron), exhibit a wide range of shapes and internal structures, undergo activity-dependent plasticity, and their molecular components are dynamic. We must be able to observe the molecular dynamics and interactions of synaptic proteins at their scale: the nanoscale. Super-resolution microscopy (or optical nanoscopy) techniques allow characterizing molecular interactions inside living cells with unprecedented spatiotemporal resolution. These techniques come with several layers of complex¬ity in their implementation. This has limited their adoption as well as their adaptability to multi-color, multi-modal, and long-term imaging in living cells, tissues or in vivo. My research team focuses on transdisciplinary approaches at the interface of molecular neurosciences, multimodal optical nanoscopy, and machine learning to study structure/function relationship of synapses in the brain. We developed a machine learning assisted optimization framework for optical nanoscopy allowing real-time optimization of multi-modal live-cell imaging of synaptic activity and structure proteins. We also implemented diverse machine learning approaches for high throughput super-resolution image analysis, allowing us to characterize activity-dependent remodelling of neuronal proteins. Having better models of the synapse architecture at the nanoscale and of the molecular interactions supporting synaptic plasticity will not only improve our understanding of the molecular mechanisms underlying brain function, but also help in designing artificial intelligence (AI) models. Equally, improved AI-based approaches will help improving methods for understanding brain function. |
| Date | Start: 20.06.2019, 13:00 Uhr Ende: 20.06.2019 , 14:30 Uhr |
| Location |
Max-Planck-Institut für experimentelle Medizin (MPIEM) (Hermann-Rein-Straße 3) Lecture hall |
| Contact |
0551 39-61943 mbexc.admin@med.uni-goettingen.de |