Evidence map›Paper›PMID 42493662›Full record

ArticleNature methods2026

A versatile platform for two-photon neuronal population voltage imaging across cortical depths.

Jingkun Guo, Kevin Barber, M Agustina Frechou, Sihao Lu, Jeff Demas, David Chen, Shuyuan Yang, Alex James McDonald, Michelle Ann Land, François St-Pierre and 1 more

Abstract read
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In one paragraph

Article in Nature methods, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Jingkun GuoLaboratory of Neurotechnology and Biophysics, The Rockefeller University, New York, NY, USA.
Kevin BarberLaboratory of Neurotechnology and Biophysics, The Rockefeller University, New York, NY, USA.
M Agustina FrechouLaboratory of Neurotechnology and Biophysics, The Rockefeller University, New York, NY, USA.ORCID http://orcid.org/0000-0001-9889-306X
Sihao LuLaboratory of Neurotechnology and Biophysics, The Rockefeller University, New York, NY, USA.ORCID http://orcid.org/0009-0009-3340-6502
Jeff DemasLaboratory of Neurotechnology and Biophysics, The Rockefeller University, New York, NY, USA.ORCID http://orcid.org/0000-0001-6132-0188
David ChenLaboratory of Neurotechnology and Biophysics, The Rockefeller University, New York, NY, USA.
Shuyuan YangChemical and Biomolecular Engineering, Rice University, Houston, TX, USA.
Alex James McDonaldDepartment of Neuroscience, Baylor College of Medicine, Houston, TX, USA.ORCID http://orcid.org/0000-0003-1214-3562
Michelle Ann LandDepartment of Neuroscience, Baylor College of Medicine, Houston, TX, USA.ORCID http://orcid.org/0000-0002-5886-9281
François St-PierreChemical and Biomolecular Engineering, Rice University, Houston, TX, USA.ORCID http://orcid.org/0000-0001-8618-4135
Alipasha VaziriLaboratory of Neurotechnology and Biophysics, The Rockefeller University, New York, NY, USA. vaziri@rockefeller.edu.ORCID http://orcid.org/0000-0001-8346-7551

Funding

Enabling high-fidelity population voltage imaging with next-generation optical platforms and indicatorsR01MH141913 · NIMH · ROCKEFELLER UNIVERSITY · PI Francois St-Pierre, Alipasha Vaziri · 2025 to 2026
$1.4M
Bristol-Myers Squibb Foundation (BMSF) Postdoctoral FellowshipKavli Foundation N/ANIMH NIH HHS R01 MH141913U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS) 5U01NS115530U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS) 5U01NS126057U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS) 5U01NS128664
6 · The paper itself

Abstract

Genetically encoded voltage indicators have emerged as a tool for resolving neuronal spiking activity with high spatiotemporal resolution within genetically specific populations; however, their fast temporal dynamics, low signal-to-noise ratio (SNR) and fast photobleaching have posed substantial challenges limiting their broader utility and, together with suboptimal optical acquisition schemes, preventing their efficient scale-up to larger neuronal populations. Here we introduce a versatile, scalable, spatiotemporally and energetically efficient two-photon optical imaging system scheme based on a flexible lateral-temporal multiplexing (FlatMux) platform. We demonstrate FlatMux's capability and its flexible reconfigurability for meeting different recording requirements. This includes a large field-of-view mode, a 2-kHz high-speed mode, a deep-tissue imaging mode allowing recordings of cortical spiking activity at up to 500-µm depth, a dual-plane imaging mode allowing for simultaneous recording of population spiking activity of neurons in cortical L2/3 and L4, and a high-SNR imaging mode for recording of subthreshold neuronal activity and high-SNR spiking activity, all while minimizing pixel crosstalk and bleaching. Thus, FlatMux meets the challenging demands of multiphoton voltage imaging across the mammalian cortex and can be expected to enable a range of studies of complex brain functions at single-spike and single-trial level for large neuronal populations.

Indexed as

Cerebral CortexMicroscopy, Fluorescence, MultiphotonNeuronsAction PotentialsAnimalsMicePhotonsSignal-To-Noise Ratio

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Registered trials

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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.