Using machine learning and optical microscopy image analysis of immunosensors made on plasmonic substrates: application to detect the SARS-CoV-2 virus (2025)
- Authors:
- USP affiliated authors: BRUNO, ODEMIR MARTINEZ - IFSC ; OLIVEIRA JUNIOR, OSVALDO NOVAIS DE - IFSC ; OITICICA, PEDRO RAMON ALMEIDA - IFSC ; SOARES, JULIANA COATRINI - IFSC
- Unidade: IFSC
- DOI: 10.1021/acssensors.4c03451
- Subjects: MICROSCÓPIO ÓTICO; APRENDIZADO COMPUTACIONAL; COVID-19; VISÃO COMPUTACIONAL
- Keywords: Plasmonic substrates; Immunosensor; SARS-CoV-2 virus; Computer vision; Machine learning
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Washington, DC
- Date published: 2025
- Source:
- Título: ACS Sensors
- ISSN: 2379-3694
- Volume/Número/Paginação/Ano: v. 10, n. 2, p. 1407-1418 + supporting information, Feb. 2025
- Status:
- Artigo aberto em periódico híbrido (Hybrid Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
ABNT
OITICICA, Pedro Ramon Almeida et al. Using machine learning and optical microscopy image analysis of immunosensors made on plasmonic substrates: application to detect the SARS-CoV-2 virus. ACS Sensors, v. 10, n. 2, p. 1407-1418 + supporting information, 2025Tradução . . Disponível em: https://doi.org/10.1021/acssensors.4c03451. Acesso em: 02 abr. 2026. -
APA
Oiticica, P. R. A., Angelim, M. K. S. C., Soares, J. C., Soares, A. C., Proença-Modena, J. L., Bruno, O. M., & Oliveira Junior, O. N. de. (2025). Using machine learning and optical microscopy image analysis of immunosensors made on plasmonic substrates: application to detect the SARS-CoV-2 virus. ACS Sensors, 10( 2), 1407-1418 + supporting information. doi:10.1021/acssensors.4c03451 -
NLM
Oiticica PRA, Angelim MKSC, Soares JC, Soares AC, Proença-Modena JL, Bruno OM, Oliveira Junior ON de. Using machine learning and optical microscopy image analysis of immunosensors made on plasmonic substrates: application to detect the SARS-CoV-2 virus [Internet]. ACS Sensors. 2025 ; 10( 2): 1407-1418 + supporting information.[citado 2026 abr. 02 ] Available from: https://doi.org/10.1021/acssensors.4c03451 -
Vancouver
Oiticica PRA, Angelim MKSC, Soares JC, Soares AC, Proença-Modena JL, Bruno OM, Oliveira Junior ON de. Using machine learning and optical microscopy image analysis of immunosensors made on plasmonic substrates: application to detect the SARS-CoV-2 virus [Internet]. ACS Sensors. 2025 ; 10( 2): 1407-1418 + supporting information.[citado 2026 abr. 02 ] Available from: https://doi.org/10.1021/acssensors.4c03451 - Diagnosis made with integration of computer vision and machine learning to process biosensor images
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