dc.contributor.author | Xue, Yi | |
dc.contributor.author | Berry, Kalen Paul | |
dc.contributor.author | Boivin, Josiah R. | |
dc.contributor.author | Rowlands, Christopher | |
dc.contributor.author | Takiguchi, Yu | |
dc.contributor.author | Nedivi, Elly | |
dc.contributor.author | So, Peter T. C. | |
dc.date.accessioned | 2020-05-26T19:46:18Z | |
dc.date.available | 2020-05-26T19:46:18Z | |
dc.date.issued | 2019-01 | |
dc.date.submitted | 2018-10 | |
dc.identifier.issn | 2334-2536 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/125461 | |
dc.description.abstract | Simultaneous, high-resolution imaging across a large number of synaptic and dendritic sites is critical for understanding how neurons receive and integrate signals. Yet, functional imaging that targets a large number of submicrometer-sized synaptic and dendritic locations poses significant technical challenges. We demonstrate a new parallelized approach to address such questions, increasing the signal-to-noise ratio by an order of magnitude compared to previous approaches. This selective access multifocal multiphoton microscopy uses a spatial light modulator to generate multifocal excitation in three dimensions (3D) and a Gaussian–Laguerre phase plate to simultaneously detect fluorescence from these spots throughout the volume. We test the performance of this system by simultaneously recording Ca 2 dynamics from cultured neurons at 98–118 locations distributed throughout a 3D volume. This is the first demonstration of 3D imaging in a “single shot” and permits synchronized monitoring of signal propagation across multiple different dendrites. | en_US |
dc.description.sponsorship | National Institutes of Health (NIH) (Grant 1-R01-HL121386-01A1) | en_US |
dc.description.sponsorship | National Institutes of Health (NIH) (Grant 1R21NS105070-01) | en_US |
dc.description.sponsorship | National Institutes of Health (NIH) (Grant 1U01CA202177-01) | en_US |
dc.description.sponsorship | National Institutes of Health (NIH) (Grant 1-U01-NS090438-01) | en_US |
dc.description.sponsorship | National Institutes of Health (NIH) (Grant 5-P41-EB015871-27) | en_US |
dc.description.sponsorship | National Institutes of Health (NIH) (Grant 5R21NS091982-02) | en_US |
dc.description.sponsorship | National Institutes of Health (NIH) (Grant F32 MH115441) | en_US |
dc.language.iso | en | |
dc.publisher | The Optical Society | en_US |
dc.relation.isversionof | https://dx.doi.org/10.1364/optica.6.000076 | en_US |
dc.rights | Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. | en_US |
dc.source | OSA Publishing | en_US |
dc.title | Scanless volumetric imaging by selective access multifocal multiphoton microscopy | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Xue, Yi et al. "Scanless volumetric imaging by selective access multifocal multiphoton microscopy." Optica 6, 1 (January 2019): 76-83 © 2019 Optical Society of America. | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Mechanical Engineering | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Laser Biomedical Research Center | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Biology | en_US |
dc.contributor.department | Picower Institute for Learning and Memory | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Biological Engineering | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences | en_US |
dc.relation.journal | Optica | en_US |
dc.eprint.version | Final published version | en_US |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
dc.date.updated | 2019-10-03T16:04:41Z | |
dspace.date.submission | 2019-10-03T16:04:44Z | |
mit.journal.volume | 6 | en_US |
mit.journal.issue | 1 | en_US |
mit.metadata.status | Complete | |