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

Nucleic Acids Res. 2021 Jul 21;49(13):7292-7297. doi: 10.1093/nar/gkab546.


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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Image Processing, Computer-Assisted / methods*
  • Microscopy
  • Neural Networks, Computer*
  • Software*