Bright and fast voltage reporters across the visible spectrum via electrochromic FRET (eFRET)
Peng Zou (Harvard University), Yongxin Zhao (University of Alberta),, Adam D. Douglass (University of Utah), Daniel R. Hochbaum (Harvard, University), Daan Brinks (Harvard University), Christopher A. Werley (Harvard, University), D. Jed Harrison (University of Alberta)

TL;DR
This paper introduces a new set of brightly fluorescent, fast, and spectrally diverse genetically encoded voltage indicators (GEVIs) that enable high-contrast, multicolor voltage imaging in neurons with rapid response times.
Contribution
It presents a novel electrochromic FRET (eFRET) mechanism for voltage sensing, expanding the spectral range and improving the speed and brightness of GEVIs.
Findings
Reported neuronal action potentials with high signal-to-noise ratio in cultured neurons.
Achieved response times as fast as 1 ms, suitable for real-time neural activity monitoring.
Enabled multicolor voltage imaging and combination with other optical tools.
Abstract
We present a palette of brightly fluorescent genetically encoded voltage indicators (GEVIs) with excitation and emission peaks spanning the visible spectrum, sensitivities from 6 - 10% Delta F/F per 100 mV, and half-maximal response times from 1 - 7 ms. A fluorescent protein is fused to an Archaerhodopsin-derived voltage sensor. Voltage-induced shifts in the absorption spectrum of the rhodopsin lead to voltage-dependent nonradiative quenching of the appended fluorescent protein. Through a library screen, we identified linkers and fluorescent protein combinations which reported neuronal action potentials in cultured rat hippocampal neurons with a single-trial signal-to-noise ratio from 6.6 to 11.6 in a 1 kHz imaging bandwidth at modest illumination intensity. The freedom to choose a voltage indicator from an array of colors facilitates multicolor voltage imaging, as well as combination…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsPhotoreceptor and optogenetics research · Neural dynamics and brain function · Neuroscience and Neural Engineering
