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Multispectral confocal microscopy images and artificial neural nets to monitor the photosensitizer uptake and degradation in Candida albicans cells
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Paper Abstract

This study clearly demonstrates that multispectral confocal microscopy images analyzed by artificial neural networks provides a powerful tool to real-time monitoring photosensitizer uptake, as well as photochemical transformations occurred.

Paper Details

Date Published: 28 July 2017
PDF: 4 pages
Proc. SPIE 10414, Advances in Microscopic Imaging, 104140D (28 July 2017); doi: 10.1117/12.2282806
Show Author Affiliations
Renan A. Romano, Univ. de São Paulo (Brazil)
Sebastião Pratavieira, Univ. de São Paulo (Brazil)
Ana P. da Silva, Univ. de São Paulo (Brazil)
Cristina Kurachi, Univ. de São Paulo (Brazil)
Francisco E. G. Guimarães, Univ. de São Paulo (Brazil)


Published in SPIE Proceedings Vol. 10414:
Advances in Microscopic Imaging
Emmanuel Beaurepaire; Francesco Saverio Pavone; Peter T. C. So, Editor(s)

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