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, United States of America., Ferrero G; Department of Molecular Biological Sciences, North Carolina State University, Raleigh, NC, United States of America., Bègue A; Ramona Optics Inc., Durham, NC, United States of America., Doman TJJ; Ramona Optics Inc., Durham, NC, United States of America., Dugo C; Ramona Optics Inc., Durham, NC, United States of America., Barker A; Department of Molecular Biological Sciences, North Carolina State University, Raleigh, NC, United States of America., Saliu V; Ramona Optics Inc., Durham, NC, United States of America., Reamey P; Ramona Optics Inc., Durham, NC, United States of America., Kim K; Department of Biomedical Engineering, Duke University, Durham, NC, United States of America., Harfouche M; Ramona Optics Inc., Durham, NC, United States of America., Yoder JA; Department of Molecular Biological Sciences, North Carolina State University, Raleigh, NC, United States of America.
Source: PloS one [PLoS One] 2023 Dec 07; Vol. 18 (12), pp. e0295711. Date of Electronic Publication: 2023 Dec 07 (Print Publication: 2023).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1932-6203
DOI:10.1371/journal.pone.0295711