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Depth-dependent PSF calibration and aberration correction for 3D single-molecule localization.

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Accurate 3D super-resolution microscopy is hindered by depth-induced aberrations. This study introduces a post-processing correction method to fix fitting errors, enabling precise z-localization even at large imaging depths.

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Area of Science:

  • Biophysics
  • Microscopy
  • Computational Biology

Background:

  • Three-dimensional single molecule localization microscopy (3D-SMLM) requires fitting molecular positions using a point spread function (PSF) model.
  • Depth-induced aberrations and imperfect PSF models cause artifacts like z-axis squeezing or expansion in reconstructed images.

Purpose of the Study:

  • To develop a strategy for accurate z-localization in 3D-SMLM despite depth-induced aberrations.
  • To provide an open-source tool and calibration method for correcting z-positioning errors.

Main Methods:

  • Utilizing an imperfect PSF model for initial molecular fitting.
  • Quantifying fitting errors in post-processing.
  • Applying corrections to retrieve accurate z-positions.

Main Results:

  • Demonstrated a method to correct for fitting errors in z-localization.
  • Developed an open-source software tool for error correction.
  • Validated the approach for accurate z-position retrieval at large imaging depths.

Conclusions:

  • The developed strategy effectively corrects z-localization errors caused by depth-induced aberrations and imperfect PSF models.
  • This approach enhances the accuracy of 3D-SMLM imaging across various PSF engineering techniques and fitting methods.