Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Automated detection of apoptotic bodies and cells in label-free time-lapse high-throughput video microscopy using deep convolutional neural networks

Bioinformatics(2023)10.1093/bioinformatics/btad584Source: DataRank Database

Automated detection of apoptotic bodies and cells in label-free time-lapse high-throughput video microscopy using deep convolutional neural networks is a research paper published in Bioinformatics (2023). On theSindex it has a DataRank of 0. It has been cited 7 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access7 citations

Download PDF

Cite:

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)Impact (FWCI 1.73)OA: goldTopics (32)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)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

Authors (7)

Melisa Martinez-Paniagua ORCID,Kate Reichel,Prashant S. Menon ORCID,Shravani Deo,Badrinath Roysam ORCID

Live enrichment

PubMed:37773981 PMC:PMC10563152 OpenAlex:https://openalex.org/W4387164597

National Institutes of Health

Grant: R01GM143243

National Institutes of Health

Grant: 5R01GM143243-02

MusIC: A multi-scale technology for integrating dynamic cellular function and molecular profiles

FWCI

1.73

Citation Percentile

0.9%

Citation Trend

2025

2026

goldLicense: cc-by

journalhttps://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btad584/51799619/btad584.pdf

GOLDhttps://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btad584/51799619/btad584.pdf

publisherhttps://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btad584/51799619/btad584.pdf

publisherhttps://academic.oup.com/bioinformatics/article-pdf/39/10/btad584/51972215/btad584.pdf

journalhttps://doi.org/10.1093/bioinformatics/btad584

Fields of Study

Cell Image Analysis TechniquesPhagocytosis and Immune RegulationDigital Imaging for Blood DiseasesComputer ScienceMedicineBiology0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

MeSH Terms

Extracellular VesiclesHumansNeural Networks, ComputerAnnexinsMicroscopy, VideoTime-Lapse Imaging

Keywords

AnnexinApoptosisConvolutional neural networkComputer scienceSegmentationArtificial intelligenceAnnexin A5Frame (networking)Computational biologyBiologyGeneticsOriginal PaperExtracellular VesiclesMicroscopy, VideoAnnexinsHumansNeural Networks, ComputerTime-Lapse Imaging