Automated, high-throughput quantification of EGFP-expressing neutrophils in zebrafish by machine learning and a highly-parallelized microscope.

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Bibliographic Details
Title: Automated, high-throughput quantification of EGFP-expressing neutrophils in zebrafish by machine learning and a highly-parallelized microscope.
Authors: Efromson J; Ramona Optics Inc., Durham, NC., Ferrero G; Department of Molecular Biological Sciences, North Carolina State University, Raleigh, NC., Bègue A; Ramona Optics Inc., Durham, NC., Doman TJJ; Ramona Optics Inc., Durham, NC., Dugo C; Ramona Optics Inc., Durham, NC., Barker A; Department of Molecular Biological Sciences, North Carolina State University, Raleigh, NC., Saliu V; Ramona Optics Inc., Durham, NC., Reamey P; Ramona Optics Inc., Durham, NC., Kim K; Department of Biomedical Engineering, Duke University, Durham, NC., Harfouche M; Ramona Optics Inc., Durham, NC., Yoder JA; Department of Molecular Biological Sciences, North Carolina State University, Raleigh, NC.
Source: BioRxiv : the preprint server for biology [bioRxiv] 2023 Aug 18. Date of Electronic Publication: 2023 Aug 18.
Publication Type: Preprint; Journal Article
Journal Info: Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2692-8205
DOI:10.1101/2023.08.16.553550