Information-rich localization microscopy through machine learning

Single-molecule methods often rely on point spread functions that are tailored to interpret specific information. Here the authors use a neural network to extract complex PSF information from experimental images, and demonstrate this by classifying color and axial positions of emitters.

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Detalles Bibliográficos
Autores principales: Taehwan Kim, Seonah Moon, Ke Xu
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2019
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Q
Acceso en línea:https://doaj.org/article/d16a8683e3b8455ab94be76774f148ad
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