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Long-Axial-Range Double-Helix Point Spread Functions for 3D Volumetric Super-Resolution Imaging.

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This summary is machine-generated.

This study simplifies 3D super-resolution microscopy for whole cells using double-helix point spread functions (DH-PSFs). This method enables stitching-free imaging, improving speed and resolution for cellular structures.

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Area of Science:

  • Biophysics
  • Microscopy
  • Cell Biology

Background:

  • Single-molecule localization microscopy (SMLM) offers super-resolution imaging beyond light diffraction limits.
  • Engineered point spread functions (PSFs) extend SMLM to 3D imaging, but challenges remain for thick samples like mammalian cells.
  • Current 3D SMLM for thick samples often requires complex multi-slice acquisition and post-processing.

Purpose of the Study:

  • To simplify 3D super-resolution imaging workflows for thick biological samples.
  • To demonstrate the utility of long-axial-range double-helix (DH)-PSFs for stitching-free 3D SMLM.
  • To improve imaging speed and resolution in 3D SMLM of cellular structures.

Main Methods:

  • Experimental benchmarking of DH-PSF localization precision using fluorescent beads.
  • Quantification of DH-PSF performance in 3D SMLM of mammalian cells (U-2 OS) using DNA-PAINT.
  • Application of a deep-learning algorithm for localizing dense emitters.

Main Results:

  • Long-axial-range DH-PSFs were experimentally validated for 3D SMLM.
  • Performance was quantified for imaging nuclear lamina protein lamin B1 in mammalian cells.
  • Deep learning significantly enhanced imaging speed and resolution by localizing dense emitters.

Conclusions:

  • Long-axial-range DH-PSFs enable stitching-free 3D super-resolution imaging of entire mammalian cells.
  • The developed method simplifies experimental and analysis procedures for volumetric nanoscale imaging.
  • This approach facilitates obtaining nanoscale structural information in 3D within thick biological samples.