Evidence map›Paper›PMID 42395871›Full record

ArticlePhotoniX2026

Snapshot 3D at the speed frontier: redefining light-field microscopy for neuroimaging.

Ruixuan Zhao, Jongchan Park, Liang Gao

Abstract read
In one paragraph

Article in PhotoniX, 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

3 authors.

Ruixuan ZhaoDepartment of Bioengineering, University of California, Los Angeles, CA USA.
Jongchan ParkDepartment of Bioengineering, University of California, Los Angeles, CA USA.
Liang GaoDepartment of Bioengineering, University of California, Los Angeles, CA USA.ORCID 0000-0002-4296-5586

Funding

Ultrafast BioimagingR35GM128761 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Liang Gao · 2018 to 2026
$3.2M
Kilohertz volumetric imaging of neuronal action potentials in awake behaving miceRF1NS128488 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GAO, LIANG, GOLSHANI, PEYMAN · 2022 to 2022
$1.6M
Kilohertz 3D voltage imaging using near-infrared confocal squeezed light field microscopyR01NS142690 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Liang Gao · 2025 to 2026
$1.1M
NIGMS NIH HHS R35 GM128761NINDS NIH HHS R01 NS142690NINDS NIH HHS RF1 NS128488
6 · The paper itself

Abstract

Neural activity unfolds across three-dimensional circuits on millisecond-to-microsecond timescales, yet most optical microscopes still acquire volumes sequentially, limiting their ability to capture fast, distributed dynamics. Light-field microscopy (LFM) addresses this unmet need by encoding spatial and angular information into a single camera exposure, enabling snapshot volumetric imaging with low latency and strong robustness to motion. Here we review emerging advances in light-field neuroimaging, from brain-wide calcium recordings in freely moving animals to recent progress that brings kilohertz-class volumetric voltage imaging within reach. We argue that LFM should be evaluated based on information throughput, latency, photon efficiency, and motion robustness at the speed frontier, but not as a direct resolution or contrast competitor to confocal, multiphoton, or light-sheet microscopy. We conclude by highlighting future directions that preserve the LFM's snapshot advantage, including speed-preserving improvements in image quality, extreme temporal-bandwidth architectures that prioritize quantitative inference over visual appearance, and multimodal light-field sensing that adds spectral, lifetime, and polarization contrast.

Indexed as

Calcium imagingComputational microscopyLight-field microscopyNeuroimagingVoltage imaging

Identifiers

PMID42395871
PMCPMC13323215

What OpenQuestion holds

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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.