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Single Cell Analysis of Stored Red Blood Cells Using Ultra-High Throughput Holographic Cytometry

Cells(2021)10.3390/cells10092455Source: DataRank Database

Single Cell Analysis of Stored Red Blood Cells Using Ultra-High Throughput Holographic Cytometry is a research paper published in Cells (2021). On theSindex it has a DataRank of 0. It has been cited 32 times.

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Open Access32 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (3 grants)OA: goldTopics (25)IDs (PubMed, PMC)SDGs (1)

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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 (5)

Hillel Price ORCID,Silvia Ceballos ORCID,Jen‐Tsan Chi ORCID,Adam Wax ORCID,Hansang Park

Live enrichment

PubMed:34572104 PMC:PMC8465484

National Institutes of Health

Grant: 1R21-ES029791

World Anti-Doping Agency

Grant: XXX

National Institutes of Health

Grant: 1R21ES029791-01

High throughput cell screening for toxic metal exposure

goldLicense: cc-by

publisherhttps://www.mdpi.com/2073-4409/10/9/2455/pdf?version=1631875941

publisherhttps://www.mdpi.com/2073-4409/10/9/2455/pdf

repositoryhttps://doaj.org/article/637c94f41bf547a6a2f8abec71500a54

repositoryhttp://europepmc.org/pmc/articles/PMC8465484

repositoryhttps://dx.doi.org/10.3390/cells10092455

Fields of Study

0301 basic medicine0303 health sciences03 medical and health sciences

MeSH Terms

ErythrocytesHumansHolographyFlow CytometryAlgorithmsImage Processing, Computer-AssistedSingle-Cell AnalysisMachine Learning

Keywords

Red Blood Cell StorageQuantitative Phase ImagingHigh Throughput Cell ScreeningErythrocytesQH573-671HolographyFlow CytometryArticleMachine LearningImage Processing, Computer-AssistedHumansSingle-Cell AnalysisCytologyAlgorithms

Sustainable Development Goals

SDG 3: 3. Good health