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dc.contributor.authorGao, Ruixuan
dc.contributor.authorAsano, Shoh M
dc.contributor.authorHuynh, Grace H.
dc.contributor.authorZhao, Yongxin
dc.contributor.authorBoyden, Edward
dc.date.accessioned2022-09-30T16:56:39Z
dc.date.available2021-10-27T20:04:29Z
dc.date.available2022-09-30T16:56:39Z
dc.date.issued2019
dc.identifier.urihttps://hdl.handle.net/1721.1/134333.2
dc.description.abstract© 2019 American Association for the Advancement of Science. All Rights Reserved. Optical and electron microscopy have made tremendous inroads toward understanding the complexity of the brain. However, optical microscopy offers insufficient resolution to reveal subcellular details, and electron microscopy lacks the throughput and molecular contrast to visualize specific molecular constituents over millimeter-scale or larger dimensions. We combined expansion microscopy and lattice light-sheet microscopy to image the nanoscale spatial relationships between proteins across the thickness of the mouse cortex or the entire Drosophila brain. These included synaptic proteins at dendritic spines, myelination along axons, and presynaptic densities at dopaminergic neurons in every fly brain region. The technology should enable statistically rich, large-scale studies of neural development, sexual dimorphism, degree of stereotypy, and structural correlations to behavior or neural activity, all with molecular contrast.en_US
dc.language.isoen
dc.publisherAmerican Association for the Advancement of Science (AAAS)en_US
dc.relation.isversionof10.1126/SCIENCE.AAU8302en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcePMCen_US
dc.titleCortical column and whole-brain imaging with molecular contrast and nanoscale resolutionen_US
dc.typeArticleen_US
dc.contributor.departmentMassachusetts Institute of Technology. Media Laboratoryen_US
dc.contributor.departmentMcGovern Institute for Brain Research at MITen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Center for Neurobiological Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.contributor.departmentKoch Institute for Integrative Cancer Research at MITen_US
dc.relation.journalScienceen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2019-07-19T16:02:21Z
dspace.orderedauthorsGao, R; Asano, SM; Upadhyayula, S; Pisarev, I; Milkie, DE; Liu, T-L; Singh, V; Graves, A; Huynh, GH; Zhao, Y; Bogovic, J; Colonell, J; Ott, CM; Zugates, C; Tappan, S; Rodriguez, A; Mosaliganti, KR; Sheu, S-H; Pasolli, HA; Pang, S; Xu, CS; Megason, SG; Hess, H; Lippincott-Schwartz, J; Hantman, A; Rubin, GM; Kirchhausen, T; Saalfeld, S; Aso, Y; Boyden, ES; Betzig, Een_US
dspace.date.submission2019-07-19T16:02:24Z
mit.journal.volume363en_US
mit.journal.issue6424en_US
mit.metadata.statusPublication Information Neededen_US


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