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Related Experiment Video

Updated: Apr 5, 2026

Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution
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A software tool for tomographic axial superresolution in STED microscopy.

S Koho1, T Deguchi1, P E Hänninen1

  • 1Department of Cell Biology and Anatomy, Laboratory of Biophysics, Institute of Biomedicine and Medicity Research Laboratories, University of Turku, Tykistökatu 6A, Turku, Finland.

Journal of Microscopy
|August 11, 2015
PubMed
Summary

This study introduces a novel tomographic reconstruction method for Stimulated Emission Depletion (STED) superresolution microscopy. The technique enhances axial resolution by combining multiple projections, improving 3D imaging capabilities.

Keywords:
Axial tomographySTEDimage fusionimage processingimage registrationopen source softwarereconstruction algorithmssuperresolution microscopy

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Area of Science:

  • Microscopy
  • Biophysics
  • Image Reconstruction

Background:

  • Stimulated Emission Depletion (STED) superresolution microscopy offers high resolution but can have limited axial resolution.
  • Generating 3D tomograms from multiple projections is challenging.

Purpose of the Study:

  • To develop a method for generating 3D tomograms from multiple 3D axial projections in STED microscopy.
  • To improve the apparent axial resolution of STED superresolution images.

Main Methods:

  • Utilized a micromirror to record oblique STED projections.
  • Employed mutual-information histogram similarity for projection registration.
  • Applied a modified Richardson-Lucy deconvolution algorithm for projection fusion.

Main Results:

  • Achieved a three-to-four-fold improvement in apparent axial resolution.
  • Demonstrated the method's efficacy with real biological STED images, including low SNR data.
  • Developed and will release the SuperTomo reconstruction software.

Conclusions:

  • The novel tomographic reconstruction method significantly enhances axial resolution in STED microscopy.
  • This technique provides a valuable tool for high-resolution 3D biological imaging.
  • The open-source release of the software will facilitate its adoption and further development.