Sustained deep-tissue voltage recording using a fast indicator evolved for two-photon microscopy
dc.citation.firstpage | 3408 | en_US |
dc.citation.issueNumber | 18 | en_US |
dc.citation.journalTitle | Cell | en_US |
dc.citation.lastpage | 3.43E+32 | en_US |
dc.citation.volumeNumber | 185 | en_US |
dc.contributor.author | Liu, Zhuohe | en_US |
dc.contributor.author | Lu, Xiaoyu | en_US |
dc.contributor.author | Villette, Vincent | en_US |
dc.contributor.author | Gou, Yueyang | en_US |
dc.contributor.author | Colbert, Kevin L. | en_US |
dc.contributor.author | Lai, Shujuan | en_US |
dc.contributor.author | Guan, Sihui | en_US |
dc.contributor.author | Land, Michelle A. | en_US |
dc.contributor.author | Lee, Jihwan | en_US |
dc.contributor.author | Assefa, Tensae | en_US |
dc.contributor.author | Zollinger, Daniel R. | en_US |
dc.contributor.author | Korympidou, Maria M. | en_US |
dc.contributor.author | Vlasits, Anna L. | en_US |
dc.contributor.author | Pang, Michelle M. | en_US |
dc.contributor.author | Su, Sharon | en_US |
dc.contributor.author | Cai, Changjia | en_US |
dc.contributor.author | Froudarakis, Emmanouil | en_US |
dc.contributor.author | Zhou, Na | en_US |
dc.contributor.author | Patel, Saumil S. | en_US |
dc.contributor.author | Smith, Cameron L. | en_US |
dc.contributor.author | Ayon, Annick | en_US |
dc.contributor.author | Bizouard, Pierre | en_US |
dc.contributor.author | Bradley, Jonathan | en_US |
dc.contributor.author | Franke, Katrin | en_US |
dc.contributor.author | Clandinin, Thomas R. | en_US |
dc.contributor.author | Giovannucci, Andrea | en_US |
dc.contributor.author | Tolias, Andreas S. | en_US |
dc.contributor.author | Reimer, Jacob | en_US |
dc.contributor.author | Dieudonné, Stéphane | en_US |
dc.contributor.author | St-Pierre, François | en_US |
dc.date.accessioned | 2022-09-08T14:39:56Z | en_US |
dc.date.available | 2022-09-08T14:39:56Z | en_US |
dc.date.issued | 2022 | en_US |
dc.description.abstract | Genetically encoded voltage indicators are emerging tools for monitoring voltage dynamics with cell-type specificity. However, current indicators enable a narrow range of applications due to poor performance under two-photon microscopy, a method of choice for deep-tissue recording. To improve indicators, we developed a multiparameter high-throughput platform to optimize voltage indicators for two-photon microscopy. Using this system, we identified JEDI-2P, an indicator that is faster, brighter, and more sensitive and photostable than its predecessors. We demonstrate that JEDI-2P can report light-evoked responses in axonal termini of Drosophila interneurons and the dendrites and somata of amacrine cells of isolated mouse retina. JEDI-2P can also optically record the voltage dynamics of individual cortical neurons in awake behaving mice for more than 30 min using both resonant-scanning and ULoVE random-access microscopy. Finally, ULoVE recording of JEDI-2P can robustly detect spikes at depths exceeding 400 μm and report voltage correlations in pairs of neurons. | en_US |
dc.identifier.citation | Liu, Zhuohe, Lu, Xiaoyu, Villette, Vincent, et al.. "Sustained deep-tissue voltage recording using a fast indicator evolved for two-photon microscopy." <i>Cell,</i> 185, no. 18 (2022) Elsevier: 3408-3425.e29. https://doi.org/10.1016/j.cell.2022.07.013. | en_US |
dc.identifier.digital | 1-s2-0-S0092867422009163-main | en_US |
dc.identifier.doi | https://doi.org/10.1016/j.cell.2022.07.013 | en_US |
dc.identifier.uri | https://hdl.handle.net/1911/113185 | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/). | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/). | en_US |
dc.title | Sustained deep-tissue voltage recording using a fast indicator evolved for two-photon microscopy | en_US |
dc.type | Journal article | en_US |
dc.type.dcmi | Text | en_US |
dc.type.publication | publisher version | en_US |
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