Evidence map›Paper›PMID 39587841›Full record

ArticleJournal of biophotonics2025

Measuring Metabolic Changes in Cancer Cells Using Two-Photon Fluorescence Lifetime Imaging Microscopy and Machine-Learning Analysis.

Jiaxin Zhang, Horst Wallrabe, Karsten Siller, Brian Mbogo, Thomas Cassidy, Shagufta Rehman Alam, Ammasi Periasamy

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of biophotonics, 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. Label-free optical biomarker for prostate cancer diagnosis.Molecular medicine (Cambridge, Mass.) · 2026
    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

7 authors.

Jiaxin ZhangThe W.M. Keck Center for Cellular Imaging, University of Virginia, Charlottesville, Virginia, USA.
Horst WallrabeThe W.M. Keck Center for Cellular Imaging, University of Virginia, Charlottesville, Virginia, USA.
Karsten SillerDepartment of Research Computing, University of Virginia, Charlottesville, Virginia, USA.
Brian MbogoThe W.M. Keck Center for Cellular Imaging, University of Virginia, Charlottesville, Virginia, USA.
Thomas CassidyThe W.M. Keck Center for Cellular Imaging, University of Virginia, Charlottesville, Virginia, USA.
Shagufta Rehman AlamThe W.M. Keck Center for Cellular Imaging, University of Virginia, Charlottesville, Virginia, USA.
Ammasi PeriasamyThe W.M. Keck Center for Cellular Imaging, University of Virginia, Charlottesville, Virginia, USA.ORCID 0000-0001-5431-509X

Funding

Zeiss 780 NLO High Sensitivity Multiphoton Microscopy SystemS10OD016446 · OD · UNIVERSITY OF VIRGINIA · PI PERIASAMY, AMMASI · 2013 to 2013
$600k
NIH HHS S10 OD016446
6 · The paper itself

Abstract

Two-photon (2P) fluorescence lifetime imaging microscopy (FLIM) was used to track cellular metabolism with drug treatment of auto-fluorescent coenzymes NAD(P)H and FAD in living cancer cells. Simultaneous excitation at 800 nm of both coenzymes was compared with traditional sequential 740/890 nm plus another alternative of 740/800 nm, before and after adding doxorubicin in an imaging time course. Changes of redox states at single cell resolution were compared by three analysis methods: our recently introduced fluorescence lifetime redox ratio (FLIRR: NAD(P)H-a

Indexed as

Flavin-Adenine DinucleotideMachine LearningCell Line, TumorDoxorubicinHumansImage Processing, Computer-AssistedMicroscopy, Fluorescence, MultiphotonNADPOxidation-ReductionDoxorubicinFlavin-Adenine DinucleotideNADPautoencoderscancer cellsFADFLIMFLIRRfluorescence lifetime microscopy (FLIM)machine learning (ML)NAD(P)HPCA

Identifiers

PMID39587841
PMCPMC11700696

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.