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Photon efficient orientation estimation using polarization modulation in single-molecule localization microscopy.

Rasmus Ø Thorsen1,2, Christiaan N Hulleman1,2, Bernd Rieger1,2,3

  • 1Department of Imaging Physics, Delft University of Technology, Delft, The Netherlands.

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Summary
This summary is machine-generated.

This study enhances biomolecule orientation precision in super-resolution microscopy by modulating excitation polarization. The new method achieves near-theoretical limits for orientation estimation, improving nanoscale analysis.

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Area of Science:

  • Biophysics
  • Optical Microscopy
  • Nanotechnology

Background:

  • Super-resolution microscopy enables nanoscale analysis of biomolecules.
  • Existing methods like MINFLUX and SIMFLUX improve localization precision.
  • Orientation estimation is crucial for understanding biomolecular function.

Purpose of the Study:

  • To enhance orientation precision in localization microscopy using modulated excitation polarization.
  • To theoretically and experimentally validate a novel polarization-based orientation estimation technique.
  • To assess the performance under low signal-to-background conditions.

Main Methods:

  • Theoretical analysis using Cramér-Rao bound (CRB) for two polarization modulation modes.
  • Simulations to evaluate performance with varying signal-to-background ratios and polarization inaccuracies.
  • Experimental validation using a custom-built polarization-controlled optical microscope.

Main Results:

  • A theoretical optimal polar angle of incidence for isotropic orientation precision was identified.
  • Simulations demonstrated achievable precision close to the CRB limit (2.4° azimuthal, 1.6° polar) with 1000 signal photons.
  • Experimental results showed in-plane precision close to the CRB limit for photon counts from 400 to 10,000.

Conclusions:

  • Modulating excitation polarization is a viable strategy to significantly improve orientation precision in localization microscopy.
  • The developed method offers superior performance compared to previous techniques, especially at low photon counts.
  • This technique advances nanoscale biomolecular orientation analysis.