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Vacca, Fabiola, Cardamone, Dario, Andreano, Emanuele, Medini, Duccio, Rappuoli, Rino, Sala, Claudia (2024) Deep-learning image analysis for high-throughput screening of opsono-phagocytosis-promoting monoclonal antibodies against Neisseria gonorrhoeae. Scientific Reports, 14 (1) doi:10.1038/s41598-024-55606-4

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Reference TypeJournal (article/letter/editorial)
TitleDeep-learning image analysis for high-throughput screening of opsono-phagocytosis-promoting monoclonal antibodies against Neisseria gonorrhoeae
JournalScientific Reports
AuthorsVacca, FabiolaAuthor
Cardamone, DarioAuthor
Andreano, EmanueleAuthor
Medini, DuccioAuthor
Rappuoli, RinoAuthor
Sala, ClaudiaAuthor
Year2024 (February 27)Volume14
Issue1
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1038/s41598-024-55606-4Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID17193896Long-form Identifiermindat:1:5:17193896:0
GUID0
Full ReferenceVacca, Fabiola, Cardamone, Dario, Andreano, Emanuele, Medini, Duccio, Rappuoli, Rino, Sala, Claudia (2024) Deep-learning image analysis for high-throughput screening of opsono-phagocytosis-promoting monoclonal antibodies against Neisseria gonorrhoeae. Scientific Reports, 14 (1) doi:10.1038/s41598-024-55606-4
Plain TextVacca, Fabiola, Cardamone, Dario, Andreano, Emanuele, Medini, Duccio, Rappuoli, Rino, Sala, Claudia (2024) Deep-learning image analysis for high-throughput screening of opsono-phagocytosis-promoting monoclonal antibodies against Neisseria gonorrhoeae. Scientific Reports, 14 (1) doi:10.1038/s41598-024-55606-4
In(2024, January) Scientific Reports Vol. 14 (1) Springer Science and Business Media LLC

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