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Bayesian analysis and efficient algorithms for single-molecule fluorescence data and step counting

Biophysical Journal(2025)10.1016/j.bpj.2025.08.014Source: DataRank Database

Bayesian analysis and efficient algorithms for single-molecule fluorescence data and step counting is a research paper published in Biophysical Journal (2025). On theSindex it has a DataRank of 0. It has been cited 2 times.

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Open Access2 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (2 grants)Impact (FWCI 1.51)OA: greenTopics (30)IDs (PubMed, PMC, OpenAlex)

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 (6)

Alyssa Ward ORCID,Sriram Tiruvadi Krishnan ORCID,Rajan Lamichhane ORCID,Francisco N. Barrera ORCID,Ioannis Sgouralis ORCID

Live enrichment

PubMed:40842151 PMC:PMC12434581 OpenAlex:https://openalex.org/W4413365819

NIGMS NIH HHS

Grant: R35 GM140846

NIH

Grant: R35GM142946

FWCI

1.51

Citation Percentile

0.8%

Citation Trend

2026

greenLicense: cc-by-nc-nd

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC12434581/

journalhttps://doi.org/10.1016/j.bpj.2025.08.014

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40842151

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/12434581

Fields of Study

Advanced Fluorescence Microscopy TechniquesAdvanced Biosensing Techniques and ApplicationsBayes TheoremAlgorithmsSingle Molecule ImagingMarkov ChainsMonte Carlo MethodReceptor, EphA2KineticsPhotobleachingGreen Fluorescent ProteinsSignal-To-Noise Ratio

MeSH Terms

Single Molecule ImagingAlgorithmsBayes TheoremKineticsMarkov ChainsMonte Carlo MethodReceptor, EphA2PhotobleachingGreen Fluorescent ProteinsSignal-To-Noise Ratio

Keywords

Bayesian probabilityAlgorithmComputer scienceSingle-molecule experimentFluorescenceArtificial intelligencePhysicsOptics