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演題詳細

Symposium

超高解像度顕微鏡による脳の基本原理へのアプローチー現状と今後の展開ー
Super-resolution microscopy: nano-scale spotlight for discovery of new principle in brain operation

開催日 2014/9/13
時間 9:00 - 11:00
会場 Room C(502)
Chairperson(s) 林 康紀 / Yasunori Hayashi (独立行政法人理化学研究所 脳科学総合研究センター / RIKEN Brain Science Institute, Japan)
坂内 博子 / Hiroko Bannai (名古屋大学大学院理学研究科生命理学専攻 / Department of Biological Science, Graduate School of Science, Nagoya University, Japan)


Size matters: STED imaging of functional neuroanatomy

  • S3-C-1-5
  • Valentin Nägerl:1 
  • 1:Université de Bordeaux - CNRS, France 

Size matters: STED imaging of functional neuroanatomy

U. Valentin Nägerl1,2
Professor of Neuroscience and Bioimaging

1 Interdisciplinary Institute for Neuroscience (IINS), Université Bordeaux Segalen, France
2 UMR 5297, Centre National de la Recherche Scientifique (CNRS), Bordeaux, France

Email: valentin.nagerl@u-bordeaux2.fr

Neurons span an incredibly complex and beautiful morphology, which is absolutely critical for their function and plasticity. Many key neuronal structures like dendritic spines, axons and glial processes are way too small to be properly resolved by conventional light microscopy, making it difficult to study how the functioning of synapses, neurons and circuits is influenced by dynamic nanoscale anatomical structures.
I will review our progress in developing STED microscopy, which provides optical resolution beyond the diffraction barrier, for nanoscale imaging in living brain slices and in vivo, and present several applications and research discoveries enabled by it regarding synapse biology: 1) nanoscale imaging up to 100 μm below tissue surface in acute brain slices by a combination of two-photon excitation and STED microscopy; 2) regulation of synapse compartmentalization by spine neck plasticity based on a combination of STED imaging, FRAP, patch-clamp electrophysiology and 2P glutamate uncaging experiments; and 3) nanoscale morpho-functional plasticity of axons during LTP by time lapse STED imaging, electrophysiological recordings and computational modeling.

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