Evidence map›Paper›PMID 41409575›Full record

ReviewMed-X2025

A review of light-field imaging in biomedical sciences.

Ruixuan Zhao, Xuanwen Hua, Woongjae Baek, Zhaoqiang Wang, Shu Jia, Liang Gao

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Med-X, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Ruixuan Zhao *Department of Bioengineering, University of California Los Angeles, Los Angeles, CA 90095 USA.
Xuanwen Hua *Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA 30332 USA.
Woongjae BaekDepartment of Bioengineering, University of California Los Angeles, Los Angeles, CA 90095 USA.
Zhaoqiang WangDepartment of Bioengineering, University of California Los Angeles, Los Angeles, CA 90095 USA.
Shu JiaWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA 30332 USA.
Liang GaoDepartment of Bioengineering, University of California Los Angeles, Los Angeles, CA 90095 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 3D Optical Mapping of Atrial Fibrillation in Beating Zebrafish HeartsR01HL165318 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GAO, LIANG, HSIAI, TZUNG K · 2022 to 2025
$2.2M
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
NHLBI NIH HHS R01 HL165318NIGMS NIH HHS R35 GM128761NINDS NIH HHS R01 NS142690NINDS NIH HHS RF1 NS128488
6 · The paper itself

Abstract

Light-field imaging is an emerging paradigm in biomedical optics, offering the unique ability to capture volumetric information in a single snapshot by encoding both the spatial and angular components of light. Unlike conventional three-dimensional (3D) imaging modalities that rely on mechanical or optical scanning, light-field imaging enables high-speed volumetric acquisition, making it particularly well-suited for capturing rapid biological dynamics. This review outlines the theoretical foundations of light-field imaging and surveys its core implementations across microscopy, mesoscopy, and endoscopy. Special attention is given to the fundamental trade-offs between imaging speed, spatial resolution, and depth of field, as well as recent advances that address these limitations through compressive sensing, deep learning, and meta-optics. By positioning light-field imaging within the broader landscape of biomedical imaging technologies, we highlight its unique strengths, existing challenges, and future potential as a scalable and versatile tool for biological discovery and clinical applications. Graphical Abstract:

Indexed as

Computational imagingLight field imagingVolumetric imaging

Identifiers

PMID41409575
PMCPMC12705775

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.