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Related Experiment Video

Updated: Sep 20, 2025

Multi-color Localization Microscopy of Single Membrane Proteins in Organelles of Live Mammalian Cells
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Global fitting for high-accuracy multi-channel single-molecule localization.

Yiming Li1,2, Wei Shi3, Sheng Liu4

  • 1Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, 518055, China. liym2019@sustech.edu.cn.

Nature Communications
|June 6, 2022
PubMed
Summary
This summary is machine-generated.

globLoc, a GPU-accelerated global fitting algorithm, enhances multi-channel single-molecule localization microscopy by linking parameters across channels. This improves 3D localization precision and robustness in advanced imaging techniques.

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Area of Science:

  • Biophysics
  • Microscopy
  • Computational Biology

Background:

  • Multi-channel detection in single-molecule localization microscopy (SMLM) enhances data richness for biological studies.
  • Extracting comprehensive information from multi-channel SMLM data presents computational challenges.

Purpose of the Study:

  • To introduce globLoc, a GPU-based global fitting algorithm for maximizing information extraction from multi-channel SMLM data.
  • To improve localization precision and robustness in SMLM by leveraging signal correlations across channels.

Main Methods:

  • Development of globLoc, a graphics processing unit (GPU) accelerated global fitting algorithm.
  • Flexible point spread function (PSF) modeling and parameter sharing across detection channels.
  • Linking correlated parameters (e.g., 3D coordinates, photon counts) between channels.

Main Results:

  • globLoc demonstrates substantial improvements in 3D localization precision for biplane and 4Pi SMLM.
  • Enhanced robustness in parameter estimation due to cross-channel data linking.
  • Accurate color assignment for ratiometric multicolor imaging applications.

Conclusions:

  • Global fitting significantly enhances information extraction in multi-channel SMLM.
  • globLoc provides a powerful computational tool for advancing SMLM applications.
  • The algorithm improves the accuracy and reliability of single-molecule localization and multicolor imaging.