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3D convolutional neural networks predict cellular metabolic pathway use from fluorescence lifetime decay data

APL Bioengineering(2024)10.1063/5.0188476Source: DataRank Database

3D convolutional neural networks predict cellular metabolic pathway use from fluorescence lifetime decay data is a research paper published in APL Bioengineering (2024). On theSindex it has a DataRank of 0. It has been cited 6 times.

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Open Access6 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (5 grants)Impact (FWCI 2.72)OA: goldTopics (31)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (3)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (5)

Daniela De Hoyos Canales ORCID,Yuanjiu Lei ORCID,A. Phillip West ORCID,Alex J. Walsh ORCID,Linghao Hu ORCID

Live enrichment

PubMed:38420625 PMC:PMC10901549 OpenAlex:https://openalex.org/W4392191579

National Institute of General Medical Sciences

Grant: R35 GM1412990

National Institutes of Health

Grant: R01HL148153

American Heart Association Predoctoral Fellowship

Grant: grant 825908

NIGMS NIH HHS

Grant: R35 GM142990

National Institutes of Health

Grant: 1R01HL148153-01A1

Type I Interferon Responses in the Pathobiology of Anthracycline-induced Cardiotoxicity

FWCI

2.72

Citation Percentile

0.9%

Citation Trend

2025

2026

goldLicense: cc-by

journalhttps://pubs.aip.org/aip/apb/article-pdf/doi/10.1063/5.0188476/19696139/016112_1_5.0188476.pdf

publisherhttps://pubs.aip.org/aip/apb/article-pdf/doi/10.1063/5.0188476/19696139/016112_1_5.0188476.pdf

journalhttps://doi.org/10.1063/5.0188476

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38420625

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/10901549

Fields of Study

Cell Image Analysis TechniquesAdvanced Fluorescence Microscopy TechniquesMolecular Biology Techniques and Applications0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

Metabolic pathwayGlycolysisGlutaminolysisNAD+ kinaseOxidative phosphorylationFluorescence-lifetime imaging microscopyBiologyConvolutional neural networkAutofluorescenceCell biologyBiochemistryFluorescenceMetabolismEnzymeComputer scienceArtificial intelligenceOpticsMedical technology610500ArticlesR855-855.5TP248.13-248.65JMGBiotechnology

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Reduced inequalitiesSDG 0: Peace, Justice and strong institutions

3D convolutional neural networks predict cellular metabolic pathway use from fluorescence lifetime decay data

FAIR Checklist

Authors (5)

Funding (5 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)