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A machine learning approach for online automated optimization of super-resolution optical microscopy

Traditional approaches for finding well-performing parameterizations of complex imaging systems, such as super-resolution microscopes rely on an extensive exploration phase over the illumination and acquisition settings, prior to the imaging task. This strategy suffers from several issues: it requir...

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Detalles Bibliográficos
Autores principales: Durand, Audrey, Wiesner, Theresa, Gardner, Marc-André, Robitaille, Louis-Émile, Bilodeau, Anthony, Gagné, Christian, De Koninck, Paul, Lavoie-Cardinal, Flavie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6286316/
https://www.ncbi.nlm.nih.gov/pubmed/30531817
http://dx.doi.org/10.1038/s41467-018-07668-y