Multispectral confocal microscopy images and artificial neural nets to monitor the photosensitizer uptake and degradation in Candida albicans cells (2017)
- Authors:
- USP affiliated authors: PRATAVIEIRA, SEBASTIÃO - IFSC ; KURACHI, CRISTINA - IFSC ; GUIMARÃES, FRANCISCO EDUARDO GONTIJO - IFSC
- Unidade: IFSC
- DOI: 10.1117/12.2282806
- Subjects: CANDIDA ALBICANS; TERAPIA FOTODINÂMICA; FOTOTERAPIA
- Keywords: Confocal microscopy; Artificial neural nets; Photosensitizer uptake; Candida albicans
- Language: Inglês
- Imprenta:
- Publisher: International Society for Optical Engineering - SPIE
- Publisher place: Bellingham
- Date published: 2017
- Source:
- Título: Proceedings of SPIE
- ISSN: 0277-786X
- Volume/Número/Paginação/Ano: v. 10414, p. 104140D-1-104140D-4, 2017
- Conference titles: Advances in Microscopic Imaging
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
ROMANO, Renan A. et al. Multispectral confocal microscopy images and artificial neural nets to monitor the photosensitizer uptake and degradation in Candida albicans cells. Proceedings of SPIE. Bellingham: International Society for Optical Engineering - SPIE. Disponível em: https://doi.org/10.1117/12.2282806. Acesso em: 13 fev. 2026. , 2017 -
APA
Romano, R. A., Pratavieira, S., Silva, A. P., Kurachi, C., & Guimarães, F. E. G. (2017). Multispectral confocal microscopy images and artificial neural nets to monitor the photosensitizer uptake and degradation in Candida albicans cells. Proceedings of SPIE. Bellingham: International Society for Optical Engineering - SPIE. doi:10.1117/12.2282806 -
NLM
Romano RA, Pratavieira S, Silva AP, Kurachi C, Guimarães FEG. Multispectral confocal microscopy images and artificial neural nets to monitor the photosensitizer uptake and degradation in Candida albicans cells [Internet]. Proceedings of SPIE. 2017 ; 10414 104140D-1-104140D-4.[citado 2026 fev. 13 ] Available from: https://doi.org/10.1117/12.2282806 -
Vancouver
Romano RA, Pratavieira S, Silva AP, Kurachi C, Guimarães FEG. Multispectral confocal microscopy images and artificial neural nets to monitor the photosensitizer uptake and degradation in Candida albicans cells [Internet]. Proceedings of SPIE. 2017 ; 10414 104140D-1-104140D-4.[citado 2026 fev. 13 ] Available from: https://doi.org/10.1117/12.2282806 - Avaliação de um sistema portátil de tempo de vida de fluorescência para diagnóstico precoce de câncer de colo de útero
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Informações sobre o DOI: 10.1117/12.2282806 (Fonte: oaDOI API)
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