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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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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 |