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Artigo de periodico
Colorimetric detection of SARS-CoV-2 using plasmonic biosensors and smartphones (2022)
Materon, Elsa Maria ; Gómez, Faustino Reyes ; Almeida, Mariana Bortholazzi ; Shimizu, Flávio Makoto ; Wong, Ademar; Teodoro, Kelcilene Bruna Ricardo ; Silva, Filipe Sampaio Reis da ; Lima, Manoel de Jesus de Aquino ; Angelim, Monara Kaelle S. C.; Melendez, Matias Eliseo ; Porras-Montenegro, Nelson; Vieira, Pedro Manoel Moraes ; Corrêa, Daniel Souza ; Carrilho, Emanuel ; Oliveira Junior, Osvaldo Novais de ; Azevedo, Ricardo Bentes de; Gonçalves, Débora
Source: ACS Applied Materials and Interfaces. Unidades: IQSC, IFSC
Subjects: NANOPARTÍCULAS, OURO, PROCESSAMENTO DE IMAGENS, SENSOR
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ABNT
MATERON, Elsa Maria et al. Colorimetric detection of SARS-CoV-2 using plasmonic biosensors and smartphones. ACS Applied Materials and Interfaces, v. 14, n. 49, p. 54527-54538, 2022Tradução . . Disponível em: https://doi.org/10.1021/acsami.2c15407. Acesso em: 04 nov. 2024.
APA
Materon, E. M., Gómez, F. R., Almeida, M. B., Shimizu, F. M., Wong, A., Teodoro, K. B. R., et al. (2022). Colorimetric detection of SARS-CoV-2 using plasmonic biosensors and smartphones. ACS Applied Materials and Interfaces, 14( 49), 54527-54538. doi:10.1021/acsami.2c15407
NLM
Materon EM, Gómez FR, Almeida MB, Shimizu FM, Wong A, Teodoro KBR, Silva FSR da, Lima M de J de A, Angelim MKSC, Melendez ME, Porras-Montenegro N, Vieira PMM, Corrêa DS, Carrilho E, Oliveira Junior ON de, Azevedo RB de, Gonçalves D. Colorimetric detection of SARS-CoV-2 using plasmonic biosensors and smartphones [Internet]. ACS Applied Materials and Interfaces. 2022 ; 14( 49): 54527-54538.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1021/acsami.2c15407
Vancouver
Materon EM, Gómez FR, Almeida MB, Shimizu FM, Wong A, Teodoro KBR, Silva FSR da, Lima M de J de A, Angelim MKSC, Melendez ME, Porras-Montenegro N, Vieira PMM, Corrêa DS, Carrilho E, Oliveira Junior ON de, Azevedo RB de, Gonçalves D. Colorimetric detection of SARS-CoV-2 using plasmonic biosensors and smartphones [Internet]. ACS Applied Materials and Interfaces. 2022 ; 14( 49): 54527-54538.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1021/acsami.2c15407
Artigo de periodico
A bench-top hyperspectral imaging system to classify beef from Nellore cattle based on tenderness (2018)
Nubiato, Keni Eduardo Zanoni ; Mazon, Madeline Rezende; Antonelo, Daniel Silva; Calkins, Chris R.; Naganathan, Govindarajan Konda; Subbiah, Jeyamkondan; Silva, Saulo da Luz e
Source: Infrared Physics & Technology. Unidade: FZEA
Subjects: CARNES E DERIVADOS, BOVINOS, GADO NELORE, PROCESSAMENTO DE IMAGENS, INFRAVERMELHO
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ABNT
NUBIATO, Keni Eduardo Zanoni et al. A bench-top hyperspectral imaging system to classify beef from Nellore cattle based on tenderness. Infrared Physics & Technology, v. 89, p. 247-254, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.infrared.2018.01.005. Acesso em: 04 nov. 2024.
APA
Nubiato, K. E. Z., Mazon, M. R., Antonelo, D. S., Calkins, C. R., Naganathan, G. K., Subbiah, J., & Silva, S. da L. e. (2018). A bench-top hyperspectral imaging system to classify beef from Nellore cattle based on tenderness. Infrared Physics & Technology, 89, 247-254. doi:10.1016/j.infrared.2018.01.005
NLM
Nubiato KEZ, Mazon MR, Antonelo DS, Calkins CR, Naganathan GK, Subbiah J, Silva S da L e. A bench-top hyperspectral imaging system to classify beef from Nellore cattle based on tenderness [Internet]. Infrared Physics & Technology. 2018 ; 89 247-254.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.infrared.2018.01.005
Vancouver
Nubiato KEZ, Mazon MR, Antonelo DS, Calkins CR, Naganathan GK, Subbiah J, Silva S da L e. A bench-top hyperspectral imaging system to classify beef from Nellore cattle based on tenderness [Internet]. Infrared Physics & Technology. 2018 ; 89 247-254.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.infrared.2018.01.005
Trabalho de evento
Ultimate leveling based on Mumford-Shah energy functional applied to plant detection (2018)
Gobber, Charles; Alves, Wonder Alexandre Luz; Hashimoto, Ronaldo Fumio
Source: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications 22nd Iberoamerican Congress, CIARP 2017 Valparaíso, Chile, November 7–10, 2017 Proceedings. Conference titles: Iberoamerican Congress on Pattern Recognition - CIARP. Unidade: IME
Subjects: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS
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ABNT
GOBBER, Charles e ALVES, Wonder Alexandre Luz e HASHIMOTO, Ronaldo Fumio. Ultimate leveling based on Mumford-Shah energy functional applied to plant detection. 2018, Anais.. Cham: Springer, 2018. Disponível em: https://doi.org/10.1007/978-3-319-75193-1_27. Acesso em: 04 nov. 2024.
APA
Gobber, C., Alves, W. A. L., & Hashimoto, R. F. (2018). Ultimate leveling based on Mumford-Shah energy functional applied to plant detection. In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications 22nd Iberoamerican Congress, CIARP 2017 Valparaíso, Chile, November 7–10, 2017 Proceedings. Cham: Springer. doi:10.1007/978-3-319-75193-1_27
NLM
Gobber C, Alves WAL, Hashimoto RF. Ultimate leveling based on Mumford-Shah energy functional applied to plant detection [Internet]. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications 22nd Iberoamerican Congress, CIARP 2017 Valparaíso, Chile, November 7–10, 2017 Proceedings. 2018 ;[citado 2024 nov. 04 ] Available from: https://doi.org/10.1007/978-3-319-75193-1_27
Vancouver
Gobber C, Alves WAL, Hashimoto RF. Ultimate leveling based on Mumford-Shah energy functional applied to plant detection [Internet]. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications 22nd Iberoamerican Congress, CIARP 2017 Valparaíso, Chile, November 7–10, 2017 Proceedings. 2018 ;[citado 2024 nov. 04 ] Available from: https://doi.org/10.1007/978-3-319-75193-1_27

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