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AbstractAs a “holy grail” of neuroscience, optical imaging of membrane potential could enable high resolution measurements of spiking and synaptic activity in neuronal populations. This has been partly achieved using organic voltage-sensitive dyes in vitro, or in invertebrate preparations yet unspecific staining has prevented single-cell resolution measurements from mammalian preparations in vivo. The development of genetically encoded voltage indicators (GEVIs) and chemogenetic sensors has enabled targeting voltage indicators to plasma membranes and selective neuronal populations. Here, we review recent advances in the design and use of genetic voltage indicators and discuss advantages and disadvantages of three classes of them. Although genetic voltage indicators could revolutionize neuroscience, there are still significant challenges, particularly two-photon performance. To overcome them may require cross-disciplinary collaborations, team effort, and sustained support by large-scale research initiatives.
Neurons, Rhodopsin, QH301-705.5, Cell Membrane, Neurosciences, 610, 600, Review, Cell membranes, Luminescent Proteins, Animals, Voltage-Dependent Anion Channels, Neural networks (Neurobiology), Biology (General), Single-Cell Analysis, Fluorescent Dyes
Neurons, Rhodopsin, QH301-705.5, Cell Membrane, Neurosciences, 610, 600, Review, Cell membranes, Luminescent Proteins, Animals, Voltage-Dependent Anion Channels, Neural networks (Neurobiology), Biology (General), Single-Cell Analysis, Fluorescent Dyes
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 109 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |