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Protocol to annotate and automate single-cell instance segmentation on stimulated Raman histology using deep learning

STAR Protocols(2025)10.1016/j.xpro.2025.104221Source: DataRank Database

Protocol to annotate and automate single-cell instance segmentation on stimulated Raman histology using deep learning is a research paper published in STAR Protocols (2025). On theSindex it has a DataRank of 0.104. It has been cited 1 time.

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0.104DataRank · unranked

Scored on demand from live citation data

Open Access1 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (6 grants)Impact (FWCI 0.77)OA: goldTopics (29)IDs (PubMed, PMC, OpenAlex)Annotations (1)

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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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.104

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

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Authors (10)

Eric Landgraf,Cheng Jiang ORCID,Asadur Chowdury ORCID,Akhil Kondepudi ORCID,Lin Wang ORCID

Live enrichment

PubMed:41317327 PMC:PMC12702318 OpenAlex:https://openalex.org/W4416853887

NIH

Grant: F31NS135973

NIH

Grant: T32GM141746

NIH

Grant: K12NS080223

NCI NIH HHS

Grant: R01 CA292529

Ian's Friends Foundation

Universidad Mayor

FWCI

0.77

Citation Percentile

0.8%

Citation Trend

2026

goldLicense: cc-by-nc-nd

journalhttps://doi.org/10.1016/j.xpro.2025.104221

publisherhttps://doi.org/10.1016/j.xpro.2025.104221

publisherhttps://api.elsevier.com/content/article/PII:S2666166725006276?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2666166725006276?httpAccept=text/plain

repositoryhttps://pubmed.ncbi.nlm.nih.gov/41317327

Fields of Study

Spectroscopy Techniques in Biomedical and Chemical ResearchCell Image Analysis TechniquesMicrofluidic and Bio-sensing TechnologiesMedicineComputer ScienceEngineeringDeep LearningSingle-Cell AnalysisSpectrum Analysis, RamanHumansImage Processing, Computer-Assisted

MeSH Terms

Deep LearningHumansImage Processing, Computer-AssistedSpectrum Analysis, RamanSingle-Cell Analysis

Keywords

SegmentationDeep learningPython (programming language)Protocol (science)AnnotationHistologyImage segmentationPattern recognition (psychology)MicroscopySingle cellBioinformaticsBiotechnology And BioengineeringComputer Sciences

Protocol to annotate and automate single-cell instance segmentation on stimulated Raman histology using deep learning

FAIR Checklist

DataRank Breakdown

Authors (10)

Funding (6 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)