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Global fitting for high-accuracy multi-channel single-molecule localization

Author

Listed:
  • Yiming Li

    (Department of Biomedical Engineering, Southern University of Science and Technology
    European Molecular Biology Laboratory, Cell Biology and Biophysics)

  • Wei Shi

    (Department of Biomedical Engineering, Southern University of Science and Technology)

  • Sheng Liu

    (European Molecular Biology Laboratory, Cell Biology and Biophysics)

  • Ivana Cavka

    (European Molecular Biology Laboratory, Cell Biology and Biophysics
    Collaboration for joint PhD degree between EMBL and Heidelberg University, Faculty of Biosciences)

  • Yu-Le Wu

    (European Molecular Biology Laboratory, Cell Biology and Biophysics
    Collaboration for joint PhD degree between EMBL and Heidelberg University, Faculty of Biosciences)

  • Ulf Matti

    (European Molecular Biology Laboratory, Cell Biology and Biophysics)

  • Decheng Wu

    (Department of Biomedical Engineering, Southern University of Science and Technology)

  • Simone Koehler

    (European Molecular Biology Laboratory, Cell Biology and Biophysics)

  • Jonas Ries

    (European Molecular Biology Laboratory, Cell Biology and Biophysics)

Abstract

Multi-channel detection in single-molecule localization microscopy greatly increases information content for various biological applications. Here, we present globLoc, a graphics processing unit based global fitting algorithm with flexible PSF modeling and parameter sharing, to extract maximum information from multi-channel single molecule data. As signals in multi-channel data are highly correlated, globLoc links parameters such as 3D coordinates or photon counts across channels, improving localization precision and robustness. We show, both in simulations and experiments, that global fitting can substantially improve the 3D localization precision for biplane and 4Pi single-molecule localization microscopy and color assignment for ratiometric multicolor imaging.

Suggested Citation

  • Yiming Li & Wei Shi & Sheng Liu & Ivana Cavka & Yu-Le Wu & Ulf Matti & Decheng Wu & Simone Koehler & Jonas Ries, 2022. "Global fitting for high-accuracy multi-channel single-molecule localization," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-30719-4
    DOI: 10.1038/s41467-022-30719-4
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    References listed on IDEAS

    as
    1. Anindita Dasgupta & Joran Deschamps & Ulf Matti & Uwe Hübner & Jan Becker & Sebastian Strauss & Ralf Jungmann & Rainer Heintzmann & Jonas Ries, 2021. "Direct supercritical angle localization microscopy for nanometer 3D superresolution," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
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