Nature Communications (Apr 2019)

Information-rich localization microscopy through machine learning

  • Taehwan Kim,
  • Seonah Moon,
  • Ke Xu

DOI
https://doi.org/10.1038/s41467-019-10036-z
Journal volume & issue
Vol. 10, no. 1
pp. 1 – 8

Abstract

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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.