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.

Bibliographic Details
Main Authors: Taehwan Kim, Seonah Moon, Ke Xu
Format: Article
Language:English
Published: Nature Publishing Group 2019-04-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-019-10036-z