deepBlink: threshold-independent detection and localization of diffraction-limited spots.

Journal: Nucleic acids research
Published Date:

Abstract

Detection of diffraction-limited spots in single-molecule microscopy images is traditionally performed with mathematical operators designed for idealized spots. This process requires manual tuning of parameters that is time-consuming and not always reliable. We have developed deepBlink, a neural network-based method to detect and localize spots automatically. We demonstrate that deepBlink outperforms other state-of-the-art methods across six publicly available datasets containing synthetic and experimental data.

Authors

  • Bastian Th Eichenberger
    Friedrich Miescher Institute for Biomedical Research, 4058 Basel, Switzerland.
  • YinXiu Zhan
    Friedrich Miescher Institute for Biomedical Research, 4058 Basel, Switzerland.
  • Markus Rempfler
    Department of Informatics, Technical University of Munich, Germany; Institute for Advanced Study, Technical University of Munich, Germany. Electronic address: markus.rempfler@tum.de.
  • Luca Giorgetti
    Friedrich Miescher Institute for Biomedical Research, 4058 Basel, Switzerland.
  • Jeffrey A Chao
    Friedrich Miescher Institute for Biomedical Research, 4058 Basel, Switzerland.