ArticleNature methods2025
Imaging neuronal voltage beyond the scattering limit.
Article in Nature methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Methods, Trade-offs, and Opportunities in High-speed Optical Microscopy for Neural Voltage imaging.Nature photonics · 2026Article
- Ultra-Wide-Field Noninvasive Imaging Through Scattering Media Via Physics-Guided Deep Learning.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Voltage imaging in zebrafish using high-speed light-sheet microscopy.Neurophotonics · 2026Review
- Voltage imaging as a window into neural computation.Neurophotonics · 2026Article
- Effects of Short-Term Synaptic Plasticity in Feedforward Inhibitory Circuits on Cerebellar Responses to Repetitive Sensory Input.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Voltage imaging with periodic structured illumination.Biomedical optics express · 2026Article
- High-speed voltage imaging of action potentials in molecular layer interneurons reveals sensory-driven synchrony that augments movement.Cell reports · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Voltage imaging is a promising technique for high-speed recording of neuronal population activity. However, tissue scattering severely limits its application in dense neuronal populations. Here we adopt the principle of localization microscopy, a technique that enables super-resolution imaging of single molecules, to resolve dense neuronal activities in vivo. Leveraging the sparse activation of neurons during action potentials (APs), we precisely localize the fluorescence changes associated with each AP, creating a super-resolution image of neuronal activity. This approach, termed activity localization imaging (ALI), identifies overlapping neurons and separates their activities with over tenfold greater precision than what tissue scattering permits. We applied ALI to widefield, targeted illumination and light sheet microscopy data, resolving neurons that cannot be distinguished by existing signal extraction pipelines. In the mouse hippocampus, ALI generates a cellular resolution map of theta oscillations, revealing the diversity of neuronal phase locking within a dense local network.
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Registered trials
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