Year: 2019
Type: article
Abstract: Imaging voltage using fluorescent-based sensors could be an ideal technique to probe neural circuits with high spatiotemporal resolution. However, due to insufficient signal-to-noise ratio (SNR), imaging membrane potential in mammalian preparations is still challenging. In recent years, many genetically encoded voltage indicators (GEVIs) have been developed. To compare them and guide decisions on which GEVI to use, we have characterized side by side the performance of eight GEVIs that represent different families of molecular constructs. We tested GEVIs in vitro with 1-photon imaging and in vivo with 1-photon wide-field imaging and 2-photon imaging. We find that QuasAr2 exhibited the best performance in vitro, whereas only ArcLight-MT could be used to reliably detect electrical activity in vivo with 2-photon excitation. No single GEVI was ideal for every experiment. These results provide a guide for choosing optimal GEVIs for specific applications.
Source: Cell Reports
Authors: Yuki Bando, Masayuki Sakamoto, Samuel Kim, Inbal Ayzenshtat, Rafael Yuste
Institution: Columbia University
Language: English
Subfield: Biophysics
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $5,200
Funders: Stanford University, California Institute of Technology, Harvard University, Uehara Memorial Foundation, Japan Agency for Medical Research and Development, Imperial College London, National Institutes of Health, Multidisciplinary University Research Initiative, Japan Society for the Promotion of Science, National Institute of Mental Health, National Eye Institute, Army Research Office, Army Research Laboratory
Awards: G1893266660, G4012432327, Generation and application of transgenic mice for wide-field and multi-color calcium imaging, Functional consequences of GABAergic inhibition of dendritic spines at puberty, Imaging Functional Connectivity in Visual Cortex, Functional connectomics of the neocortical microcircuit, Advanced Animal Model Support, Two-photon optical control of astrocytic function
OpenAlex ID: W2908737449