Evidence map›Paper›PMID 41368095›Full record

ReviewBiomedical optics express2025

Light and metabolism: label-free optical imaging of metabolic activities in biological systems [Invited].

Luca Menozzi, Zhi Li, Seongwook Choi, Tri Vu, Lingyan Shi, Junjie Yao

Abstract readReview
In one paragraph

Review in Biomedical optics express, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
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  8. Review
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.

Luca MenozziDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, USA.ORCID https://orcid.org/0000-0001-7542-1051
Zhi LiShu Chien-Gene Lay Department of Bioengineering, University of California, San Diego, California, USA.
Seongwook ChoiDepartment of Radiology, Stanford University, Palo Alto, California, USA.ORCID https://orcid.org/0000-0001-9774-058X
Tri VuDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, USA.
Lingyan ShiShu Chien-Gene Lay Department of Bioengineering, University of California, San Diego, California, USA.ORCID https://orcid.org/0000-0003-1373-3206
Junjie YaoDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, USA.

Funding

Training and Career Development CoreU54CA132378 · NCI · CITY COLLEGE OF NEW YORK · PI Bao Q Vuong · 2008 to 2026
$28.9M
HIPC Data Coordinating CenterU01AI167892 · NIAID · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI Steven H. Kleinstein, Bjoern Peters · 2022 to 2026
$18.7M
Kidney single cell and spatial molecular atlas project - KIDSSMAPU54DK134301 · NIDDK · WASHINGTON UNIVERSITY · PI ASHKAR, TAREK MAURICE, JAIN, SANJAY · 2022 to 2025
$7.8M
INNOVATIONS IN SHOCK WAVE LITHOTRIPSY TECHNOLOGYR01DK052985 · NIDDK · DUKE UNIVERSITY · PI ZHONG, PEI · 1997 to 2025
$6.1M
DART.3-Revolutionizing Neuropsychiatric Treatment through Noninvasive, Programmable Cell-Type-Specific NeuropharmacologyR01MH135932 · NIMH · DUKE UNIVERSITY · PI Michael R Tadross · 2024 to 2026
$4.4M
High-resolution High-speed Photoacoustic and Ultrasound Imaging of SmallVessel Functions in Ischemic StrokeR01NS111039 · NINDS · DUKE UNIVERSITY · PI YAO, JUNJIE · 2019 to 2023
$2.7M
Shear stress Regulation of Endothelial Glycolysis via METTL3-mediated RNA m6A ModificationR01HL170107 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SHU CHIEN, John YJ Shyy · 2024 to 2026
$2.5M
Head-mounted Photoacoustic Imaging of Deep-brain Neural Activities in Freely Behaving AnimalsRF1NS115581 · NINDS · DUKE UNIVERSITY · PI VERKHUSHA, VLADISLAV, YAO, JUNJIE · 2020 to 2020
$2.0M
High-Throughput Volumetric Photoacoustic Imaging of Living Vascularized OrganoidsR01EB028143 · NIBIB · DUKE UNIVERSITY · PI YAO, JUNJIE · 2019 to 2022
$2.0M
3D real-time super-resolution cavitation mapping in laser lithotripsy of urinary stone diseaseR01DK139109 · NIDDK · DUKE UNIVERSITY · PI Michael E Lipkin, Junjie Yao · 2024 to 2026
$1.8M
Sugar Probed SRS Volumetric imaging of Metabolic ActivitiesR01GM149976 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Lingyan Shi · 2023 to 2026
$1.6M
Novel Optical Imaging Approach to Study Neurovascular Coupling SystemR21NS125395 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SHI, LINGYAN · 2022 to 2022
$435k
NCI NIH HHS U54 CA132378NHLBI NIH HHS R01 HL170107NIAID NIH HHS U01 AI167892NIBIB NIH HHS R01 EB028143NIDDK NIH HHS R01 DK052985NIDDK NIH HHS R01 DK139109NIDDK NIH HHS U54 DK134301NIGMS NIH HHS R01 GM149976NIMH NIH HHS R01 MH135932NINDS NIH HHS R01 NS111039NINDS NIH HHS R21 NS125395NINDS NIH HHS RF1 NS115581
6 · The paper itself

Abstract

Metabolic imaging is critical for understanding cellular functions beyond morphology, offering significant insights into various biological processes and disease states. Label-free optical imaging techniques stand out by providing high-resolution, molecularly specific, and/or non-invasive assessments of metabolic activity without relying on exogenous contrast agents. This review discusses the key photon-tissue interactions-absorption, emission, and scattering-that underpin label-free optical imaging modalities for interrogating tissue's metabolic activities at various scales. Specifically, photoacoustic imaging (PAI) leverages absorption-based contrasts such as hemoglobin oxygenation and glucose concentrations to quantify metabolic dynamics. Emission-based techniques, including two-photon fluorescence (TPF) and fluorescence lifetime imaging microscopy (FLIM), exploit intrinsic fluorophores like nicotinamide adenine dinucleotide (NADH) and flavin adenine dinucleotide (FAD) to assess cellular energy metabolism. Interferometric methods, particularly optical coherence tomography (OCT), provide insights into tissue morphological changes. Second harmonic generation (SHG) detects extracellular matrix components such as the collagen network. Molecular vibrational imaging methods, such as stimulated Raman scattering (SRS) microscopy, visualizes spatial heterogeneity of molecular compositions. Recent clinical translations of these methods highlight their growing roles in oncology, neurology, and dermatology, underscoring their potential in early disease diagnosis and monitoring therapeutic responses. Despite challenges such as depth limitations, advancements like wavefront engineering and optical clearing techniques promise to enhance imaging penetration and clinical applicability, paving the way for broader adoption of label-free optical metabolic imaging in both research and clinical settings.

Identifiers

PMID41368095
PMCPMC12684064

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.