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

Usability of deep learning pipelines for 3D nuclei identification with Stardist and Cellpose

Cells and Development(2022)10.1016/j.cdev.2022.203806Source: DataRank Database

Usability of deep learning pipelines for 3D nuclei identification with Stardist and Cellpose is a research paper published in Cells and Development (2022). On theSindex it has a DataRank of 0. It has been cited 27 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access27 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 (9 grants)OA: bronzeTopics (25)IDs (PubMed, PMC)

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 (5)

Sophia Wang ORCID,Ester Comellas ORCID,James R. Monaghan ORCID,Sandra J. Shefelbine ORCID,Giona Kleinberg ORCID

Live enrichment

PubMed:36029974 PMC:PMC11495889

NIH HHS

Grant: P40 OD019794

NICHD NIH HHS

Grant: R01 HD099174

National Science Foundation

Grant: 1727518

Mechanobiology of Joint Morphogenesis: Manipulating Salamander Limbs

European Commission

Grant: 841047

A computational tool to elucidate the mechanobiological regulation of limb development

National Institutes of Health

Grant: P40-OD019794

National Institutes of Health

Grant: 5P40OD019794-04

Ambystoma Genetic Stock Center

Northeastern University

H2020 Marie Skłodowska-Curie Actions

Horizon 2020

bronzeLicense: Elsevier Non-Commercial

publisherhttps://www.sciencedirect.com/science/article/am/pii/S2667290122000420?via%3Dihub

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11495889

repositoryhttps://hdl.handle.net/2117/373752

https://doi.org/10.1016/j.cdev.2022.203806

https://pubmed.ncbi.nlm.nih.gov/36029974

Fields of Study

0301 basic medicine0303 health sciences03 medical and health sciences

MeSH Terms

Cell NucleusAlgorithmsImage Processing, Computer-AssistedMachine LearningDeep Learning

Keywords

MicroscopyCell Segmentation3D Machine LearningCell NucleusImage segmentationCellsCèl·lulesÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàticImatges -- SegmentacióMachine LearningDeep LearningImatgeria tridimensional en biologiaÀrees temàtiques de la UPC::Ciències de la salut::Medicina::Anatomia i fisiologia humanaAprenentatge automàticImage Processing, Computer-AssistedThree-dimensional imaging in biologyAlgorithms