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High-content imaging as a tool to quantify and characterize malaria parasites

Cell Reports Methods(2023)10.1016/j.crmeth.2023.100516Source: DataRank Database

High-content imaging as a tool to quantify and characterize malaria parasites is a research paper published in Cell Reports Methods (2023). On theSindex it has a DataRank of 0. It has been cited 11 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access11 citations

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Enrichment:Funding (2 grants)OA: goldTopics (12)IDs (PubMed, PMC)Annotations (2)

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Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (2)

Caroline L. Ng ORCID,Melissa R. Rosenthal ORCID

Live enrichment

PubMed:37533635 PMC:PMC10391350

NIAID NIH HHS

Grant: R21 AI137900

NIAID NIH HHS

Grant: R25 AI147376

goldLicense: cc-by-nc-nd

publisherhttps://doi.org/10.1016/j.crmeth.2023.100516

publisherhttps://api.elsevier.com/content/article/PII:S2667237523001455?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2667237523001455?httpAccept=text/plain

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10391350/pdf/main.pdf

Europe_PMChttps://europepmc.org/articles/PMC10391350

MeSH Terms

AnimalsParasitesPlasmodium falciparumAntimalarialsSchizonts

Keywords

Drug resistanceMalariaPlasmodium falciparumparasitesdrug discoveryMachine LearningHigh-content Imaging

High-content imaging as a tool to quantify and characterize malaria parasites

FAIR Checklist

Authors (2)

Funding (2 grants)

Open Access

Topics

Annotations (Europe PMC)