ArticleNature neuroscience2023
High-speed multiplane confocal microscopy for voltage imaging in densely labeled neuronal populations.
Article in Nature neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed.
- Methods, Trade-offs, and Opportunities in High-speed Optical Microscopy for Neural Voltage imaging.Nature photonics · 2026Article
- A versatile platform for two-photon neuronal population voltage imaging across cortical depths.Nature methods · 2026Article
- FACED 2.0 enables large-scale voltage and calcium imaging in vivo.Nature methods · 2026Article
- Three-dimensional voltage imaging in live larval zebrafish brains using fully genetically encoded voltage indicator.Scientific reports · 2026Article
- A red-emitting, genetically encoded indicator for two-photon voltage recording in vivo.bioRxiv : the preprint server for biology · 2026Article
- Ultra-dispersive metasurfaces enabled by convergence-phase design using simplified nanopillar arrays.Nature communications · 2026Article
- Isotonic and minimally invasive optical clearing media for live cell imaging ex vivo and in vivo.Nature methods · 2026Article
- Voltage imaging as a window into neural computation.Neurophotonics · 2026Article
- Article
- Dual-Channel Event Microscopy for Ultrafast Biological Imaging.bioRxiv : the preprint server for biology · 2025Article
- Mapping EEG Metrics to Human Affective and Cognitive Models: An Interdisciplinary Scoping Review from a Cognitive Neuroscience Perspective.Biomimetics (Basel, Switzerland) · 2025Review
- Kilohertz volumetric imaging of in vivo dynamics using squeezed light field microscopy.Nature methods · 2025Article
- High-speed voltage imaging of action potentials in molecular layer interneurons reveals sensory-driven synchrony that augments movement.Cell reports · 2025Article
- Optical segmentation-based compressed readout of neuronal voltage dynamics.Nature communications · 2025Article
- Imaging neuronal voltage beyond the scattering limit.Nature methods · 2025Article
- Compressive streak microscopy for fast sampling of fluorescent reporters of neural activity.Neurophotonics · 2025Article
- Seeing the Spikes: The Future of Targetable Synthetic Voltage Sensors.ACS chemical neuroscience · 2025Review
- Ultrafast optical imaging techniques for exploring rapid neuronal dynamics.Neurophotonics · 2025Review
- Deep two-photon voltage imaging with adaptive excitation.Research square · 2024Article
- A fast and responsive voltage indicator with enhanced sensitivity for unitary synaptic events.Neuron · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Genetically encoded voltage indicators (GEVIs) hold immense potential for monitoring neuronal population activity. To date, best-in-class GEVIs rely on one-photon excitation. However, GEVI imaging of dense neuronal populations remains difficult because out-of-focus background fluorescence produces low contrast and excess noise when paired with conventional one-photon widefield imaging methods. To address this challenge, we developed an imaging system capable of efficient, high-contrast GEVI imaging at near-kHz rates and demonstrate it for in vivo and ex vivo imaging applications in the mouse neocortex. Our approach uses simultaneous multiplane imaging to monitor activity within contiguous tissue volumes with no penalty in speed or requirement for high excitation power. This approach, multi-Z imaging with confocal detection (MuZIC), permits high signal-to-noise ratio voltage imaging in densely labeled neuronal populations and is compatible with imaging through micro-optics. Moreover, it minimizes artifacts associated with concurrent imaging and optogenetic photostimulation for all-optical electrophysiology.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.