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
- Subjects: CANDIDA ALBICANS; TERAPIA FOTODINÂMICA
- Language: Inglês
- Imprenta:
- Publisher: Optical Society of America - OSA
- Publisher place: Washington, DC
- Date published: 2017
- Source:
- Título: Abstracts
- Conference titles: European Conferences on Biomedical Optics - ECBO
-
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. 2017, Anais.. Washington, DC: Optical Society of America - OSA, 2017. . Acesso em: 01 abr. 2026. -
APA
Romano, R. A., Pratavieira, S., Silva, A. P. da, 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. In Abstracts. Washington, DC: Optical Society of America - OSA. -
NLM
Romano RA, Pratavieira S, Silva AP da, Kurachi C, Guimarães FEG. Multispectral confocal microscopy images and artificial neural nets to monitor the photosensitizer uptake and degradation in candida albicans cells. Abstracts. 2017 ;[citado 2026 abr. 01 ] -
Vancouver
Romano RA, Pratavieira S, Silva AP da, Kurachi C, Guimarães FEG. Multispectral confocal microscopy images and artificial neural nets to monitor the photosensitizer uptake and degradation in candida albicans cells. Abstracts. 2017 ;[citado 2026 abr. 01 ] - Avaliação de um sistema portátil de tempo de vida de fluorescência para diagnóstico precoce de câncer de colo de útero
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