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ACDC: Automated Cell Detection and Counting for Time-Lapse Fluorescence Microscopy.

Apollo (University of Cambridge)(2020)10.17863/cam.74749Source: DataRank Database

ACDC: Automated Cell Detection and Counting for Time-Lapse Fluorescence Microscopy. is a research paper published in Apollo (University of Cambridge) (2020). On theSindex it has a DataRank of 0.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (4 grants)OA: goldTopics (26)IDs (PubMed)

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Authors (13)

Andrea Tangherloni ORCID,Darren R. Tyson ORCID,Riccardo Betta,Militello, Carmelo ORCID,Simone Spolaor ORCID

Live enrichment

PubMed:34306736

National Institutes of Health

Grant: 5R01CA186193-02

Quantitative Multiscale Imaging to Optimize Cancer Treatment Strategies

Wellcome Trust

Grant: unidentified

unidentified

National Institutes of Health

Grant: 3P30CA068485-23S2

Cancer Center Support Grant

National Institutes of Health

Grant: 1R50CA243783-01

Research Specialist in Cancer Systems Biology

goldLicense: CC BY

https://doi.org/10.1101/2020.07.14.202804

https://www.mdpi.com/2076-3417/10/18/6187/pdf

https://doi.org/10.3390/app10186187

https://dx.doi.org/10.17863/cam.74749

https://dx.doi.org/10.17863/cam.57841

Fields of Study

0301 basic medicine0206 medical engineering0211 other engineering and technologies02 engineering and technology03 medical and health sciences0202 electrical engineering, electronic engineering, information engineering

Keywords

BIOIMAGE INFORMATICS, CELL COUNTING, FLUORESCENCE IMAGING, NUCLEI SEGMENTATION, TIME-LAPSE MICROSCOPYTechnologyQH301-705.5Bioimage informaticsQC1-999Automated Cell Detection and Countingfluorescence microscopyFluorescence imagingArticlecell countingTime-lapse MicroscopyBiology (General)QD1-999Bioimage informatics; Cell counting; Fluorescence imaging; Nuclei segmentation; Time-lapse microscopynuclei segmentationTPhysicsEngineering (General). Civil engineering (General)ChemistryTA1-2040