Intelligent Nanoscopy of Cellular Plasticity

脑细胞的交流、学习和记忆依赖于连接神经元的亚微米结构突触的活动和可塑性。突触信号和重塑涉及发生在纳米尺度上的机制，需要解决和理解光学纳米复制方法。拟议的研究计划将把机器学习与光学纳米技术的发展结合起来，以推动突触成像的分辨率和分析。预计拟议的CRC将推动神经科学、机器学习和光子学之间的创新，导致支持学习和记忆的分子机制的发现，以及具有前所未有的空间和时间分辨率的新型生物成像工具。

Brain cell communication, learning, and memory depend on the activity and plasticity of synapses, submicron structures connecting neurons. Synaptic signaling and remodeling involve mechanisms taking place at the nanoscale, requiring optical nanoscopymethods to be resolved and understood. The proposed research program will combine machine learning with developments in optical nanoscopy to push the resolution and analysis of synaptic imaging. The proposed CRC is expected to drive innovation at the interface of Neuroscience, Machine Learning and Photonics, leading to discoveries on the molecular mechanisms supporting learning and memory and to novel bioimaging tools with unprecedented spatial and temporal resolution.