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.

Enregistré dans:
Détails bibliographiques
Auteurs principaux: Taehwan Kim, Seonah Moon, Ke Xu
Format: article
Langue:EN
Publié: Nature Portfolio 2019
Sujets:
Q
Accès en ligne:https://doaj.org/article/d16a8683e3b8455ab94be76774f148ad
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!