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

Yiming Li (), Wei Shi, Sheng Liu, Ivana Cavka, Yu-Le Wu, Ulf Matti, Decheng Wu, Simone Koehler and Jonas Ries ()
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Yiming Li: Department of Biomedical Engineering, Southern University of Science and Technology
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
Yu-Le Wu: European Molecular Biology Laboratory, Cell Biology and Biophysics
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

Nature Communications, 2022, vol. 13, issue 1, 1-11

Abstract: 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.

Date: 2022
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DOI: 10.1038/s41467-022-30719-4

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