| First Author | Liu Z | Year | 2022 |
| Journal | Cell | Volume | 185 |
| Issue | 18 | Pages | 3408-3425.e29 |
| PubMed ID | 35985322 | Mgi Jnum | J:328009 |
| Mgi Id | MGI:7334632 | Doi | 10.1016/j.cell.2022.07.013 |
| Citation | Liu Z, et al. (2022) Sustained deep-tissue voltage recording using a fast indicator evolved for two-photon microscopy. Cell 185(18):3408-3425.e29 |
| abstractText | 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 mum and report voltage correlations in pairs of neurons. |
