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dc.contributor.authorIgarashi, Michihiro
dc.contributor.authorNozumi, Motohiro
dc.contributor.authorWu, Ling-Gang
dc.contributor.authorCella Zanacchi, Francesca
dc.contributor.authorKatona, István
dc.contributor.authorBarna, László
dc.contributor.authorXu, Pingyong
dc.contributor.authorZhang, Mingshu
dc.contributor.authorXue, Fudong
dc.contributor.authorBoyden, Edward
dc.date.accessioned2021-10-27T20:35:05Z
dc.date.available2021-10-27T20:35:05Z
dc.date.issued2018
dc.identifier.urihttps://hdl.handle.net/1721.1/136375
dc.description.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.
dc.language.isoen
dc.publisherSociety for Neuroscience
dc.relation.isversionof10.1523/JNEUROSCI.1678-18.2018
dc.rightsCreative Commons Attribution 4.0 International license
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceSociety for Neurocience
dc.titleNew observations in neuroscience using superresolution microscopy
dc.typeArticle
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineering
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciences
dc.contributor.departmentMassachusetts Institute of Technology. Media Laboratory
dc.relation.journalJournal of Neuroscience
dc.eprint.versionFinal published version
dc.type.urihttp://purl.org/eprint/type/JournalArticle
eprint.statushttp://purl.org/eprint/status/PeerReviewed
dc.date.updated2019-07-19T16:10:37Z
dspace.orderedauthorsIgarashi, M; Nozumi, M; Wu, L-G; Cella Zanacchi, F; Katona, I; Barna, L; Xu, P; Zhang, M; Xue, F; Boyden, E
dspace.date.submission2019-07-19T16:10:39Z
mit.journal.volume38
mit.journal.issue44
mit.metadata.statusAuthority Work and Publication Information Needed


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