Evidence map›Paper›PMID 37104650›Full record

ReviewAnnual review of biomedical engineering2023

Label-Free Optical Metabolic Imaging in Cells and Tissues.

Irene Georgakoudi, Kyle P Quinn

Open access · hybridAbstract readReview
In one paragraph

Review in Annual review of biomedical engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
32.5field-weighted citation impact, top 1% of its field
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

52 citing papers in PubMed, 91 citations in OpenAlex.

  1. Article
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  11. Advances in wound care · 2026
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  19. Investigating Cellular Magnetic Bioeffects Using Two-Channel, Two-Photon Autofluorescence Lifetime Microscopy.IEEE transactions on molecular, biological, and multi-scale communications · 2026
    Article
  20. 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

2 authors at 2 institutions in 1 country.

Irene GeorgakoudiDepartment of Biomedical Engineering, Tufts University, Medford, Massachusetts, USA; email: irene.georgakoudi@tufts.edu.
Kyle P QuinnDepartment of Biomedical Engineering and the Arkansas Integrative Metabolic Research Center, University of Arkansas, Fayetteville, Arkansas, USA.
Tufts University · USUniversity of Arkansas at Fayetteville · US

Funding

Unraveling Gene-Environment Interactions Shaping Metabolism: A Multi-Omics Analysis in DrosophilaP20GM139768 · NIGMS · UNIVERSITY OF ARKANSAS AT FAYETTEVILLE · PI Joanna Fiddler · 2021 to 2026
$17.0M
Probe-based two photon microscopy for functional, label-free early cancer diagnosisR01EB030061 · NIBIB · TUFTS UNIVERSITY MEDFORD · PI BEN-YAKAR, ADELA, GEORGAKOUDI, IRENE · 2020 to 2023
$3.2M
In vivo label-free characterization of aged skin to predict delayed wound healingR01AG056560 · NIA · UNIVERSITY OF ARKANSAS AT FAYETTEVILLE · PI QUINN, KYLE PATRICK · 2017 to 2021
$1.7M
Non-invasive automated wound analysis via deep learning neural networksR01EB031032 · NIBIB · UNIVERSITY OF ARKANSAS AT FAYETTEVILLE · PI QUINN, KYLE PATRICK · 2021 to 2024
$1.6M
Safety assessments of tissue irradiation with near infrared fs pulses for multi-photon imaging applicationsR03EB032637 · NIBIB · TUFTS UNIVERSITY MEDFORD · PI GEORGAKOUDI, IRENE · 2022 to 2023
$156k
Label-free, high resolution, functional, two-photon imaging for non-invasive early cancer detectionR03CA235053 · NCI · TUFTS UNIVERSITY MEDFORD · PI GEORGAKOUDI, IRENE · 2019 to 2020
$150k
NCI NIH HHS R03 CA235053NIA NIH HHS R01 AG056560NIBIB NIH HHS R01 EB030061NIBIB NIH HHS R01 EB031032NIBIB NIH HHS R03 EB032637NIGMS NIH HHS P20 GM139768
6 · The paper itself

Abstract

Over the last half century, the autofluorescence of the metabolic cofactors NADH (reduced nicotinamide adenine dinucleotide) and FAD (flavin adenine dinucleotide) has been quantified in a variety of cell types and disease states. With the spread of nonlinear optical microscopy techniques in biomedical research, NADH and FAD imaging has offered an attractive solution to noninvasively monitor cell and tissue status and elucidate dynamic changes in cell or tissue metabolism. Various tools and methods to measure the temporal, spectral, and spatial properties of NADH and FAD autofluorescence have been developed. Specifically, an optical redox ratio of cofactor fluorescence intensities and NADH fluorescence lifetime parameters have been used in numerous applications, but significant work remains to mature this technology for understanding dynamic changes in metabolism. This article describes the current understanding of our optical sensitivity to different metabolic pathways and highlights current challenges in the field. Recent progress in addressing these challenges and acquiring more quantitative information in faster and more metabolically relevant formats is also discussed.

Indexed as

Flavin-Adenine DinucleotideNADHumansMicroscopy, Fluorescence, MultiphotonOptical ImagingOxidation-ReductionFlavin-Adenine DinucleotideNADautofluorescenceFADfluorescence lifetimeglycolysismetabolic imagingmultiphoton microscopyNADHoptical metabolic imagingoxidative phosphorylationredoxtwo-photon excited fluorescence

Identifiers

PMID37104650
PMCPMC10733979
OpenAlexW4367280529

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.