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Deep learning assisted mechanotyping of individual cells through repeated deformations and relaxations in undulating channels

Biomicrofluidics(2022)10.1063/5.0077432Source: DataRank Database

Deep learning assisted mechanotyping of individual cells through repeated deformations and relaxations in undulating channels is a research paper published in Biomicrofluidics (2022). On theSindex it has a DataRank of 0. It has been cited 15 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access15 citations

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Linked data & code

Label free, high throughout detection and separation of individual breast cancer stem cells · University of California Office of the President

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (4 grants)Impact (FWCI 1.29)OA: hybridTopics (30)Linked Datasets (1)DataCite Reuse (1)IDs (PubMed, PMC, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

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Authors (6)

Daniel D. Seith,Matthew J. Bovyn ORCID,Steven P. Gross ORCID,Xiaohui Xie ORCID,Zuzanna S. Siwy ORCID

Live enrichment

PubMed:40746947 PMC:PMC12313328 OpenAlex:https://openalex.org/W4220881153

UC Cancer Research Coordinating Committee

Grant: C21CR229

National Science Foundation

Grant: 1633631

National Institutes of Health

Grant: NIH-NCI U54-CA217378

National Institutes of Health

Grant: 5U54CA217378-05

Complexity, Cooperation and Community in Cancer

FWCI

1.29

Citation Percentile

0.8%

Citation Trend

2022

2023

2025

2026

hybridLicense: cc-by

journalhttps://aip.scitation.org/doi/pdf/10.1063/5.0077432

publisherhttps://aip.scitation.org/doi/pdf/10.1063/5.0077432

publisherhttps://pubs.aip.org/aip/bmf/article-pdf/doi/10.1063/5.0077432/19804316/014104_1_online.pdf

journalhttps://doi.org/10.1063/5.0077432

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40746947

Fields of Study

Cellular Mechanics and InteractionsCell Image Analysis TechniquesMicrofluidic and Bio-sensing Technologies0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

Artificial intelligenceComputer scienceBiological systemDeep learningConvolutional neural networkPopulationCytometryPattern recognition (psychology)Machine learningCellChemistryBiologyClassical PhysicsBioengineeringEngineeringNetworking and Information Technology R&D (NITRD)Fluid mechanics and thermal engineeringMachine Learning and Artificial IntelligenceNanotechnologyGeneric health relevanceInterdisciplinary EngineeringNanoscience & NanotechnologyBiotechnologyRegular Articles

Label free, high throughout detection and separation of individual breast cancer stem cells

10.17920/g9v13fUniversity of California Office of the President