New observations in neuroscience using superresolution microscopy
Name
9459.full.pdf
Description
Published version
Size
6.3 MB
Format
Adobe PDF
Checksum (MD5)
fc176e6aefbda6b55e811c77cbddf815
Author(s)
Igarashi, Michihiro
Nozumi, Motohiro
Wu, Ling-Gang
Cella Zanacchi, Francesca
Katona, István
Barna, László
Xu, Pingyong
Zhang, Mingshu
Xue, Fudong
Boyden, Edward
Date Issued
2018
Journal
Journal of Neuroscience
Publisher
Society for Neuroscience
Version
Final published version
Abstract
© 2018 the authors. Superresolution microscopy (SM) techniques are among the revolutionary methods for molecular and cellular observations in the 21st century. SM techniques overcome optical limitations, and several new observations using SM lead us to expect these techniques to have a large impact on neuroscience in the near future. Several types of SM have been developed, including structured illumination microscopy (SIM), stimulated emission depletion microscopy (STED), and photoactivated localization microscopy (PALM)/stochastic optical reconstruction microscopy (STORM), each with special features. In this Minisymposium, experts in these different types of SM discuss the new structural and functional information about specific important molecules in neuroscience that has been gained with SM. Using these techniques, we have revealed novel mechanisms of endocytosis in nerve growth, fusion pore dynamics, and described quantitative new properties of excitatory and inhibitory synapses. Additional powerful techniques, including single molecule-guided Bayesian localization SM (SIMBA) and expansion microscopy (ExM), alone or combined with super-resolution observation, are also introduced in this session.
MIT Department
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Massachusetts Institute of Technology. Media Laboratory
Terms of Use
Creative Commons Attribution 4.0 International license
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1523/JNEUROSCI.1678-18.2018
