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Preparation and Observation of Thick Biological Samples by Scanning Transmission Electron Tomography
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Reconstruction method for extended depth-of-field optical diffraction tomography.

Wojciech Krauze1, Arkadiusz Kuś1, Dariusz Śladowski2

  • 1Warsaw University of Technology, Institute of Micromechanics and Photonics, Faculty of Mechatronics, Św. A. Boboli 8 Street, 02-525 Warsaw, Poland.

Methods (San Diego, Calif.)
|October 18, 2017
PubMed
Summary

This study introduces a new optical diffraction tomography method using a focus-tunable lens to enhance depth-of-field for biological imaging. The technique improves 3D reconstruction resolution for thick samples and micro-structures.

Keywords:
Cell analysisExtended depth of fieldLimited angle tomographyOptical diffraction tomographyTissue analysisTunable lens

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Area of Science:

  • Biomedical Optics
  • Microscopy
  • Tomography

Background:

  • Limited-angle optical diffraction tomography (ODT) faces challenges with sample thickness and resolution.
  • Extending the depth-of-field in ODT is crucial for imaging complex biological structures.
  • The Rytov approximation has limitations with thicker samples in conventional ODT.

Purpose of the Study:

  • To present a novel method for extended depth-of-field limited-angle optical diffraction tomography.
  • To enhance the applicability of the Rytov approximation for thicker biological samples.
  • To achieve uniform resolution in 3D tomographic reconstructions of micro-structures.

Main Methods:

  • Utilizing a liquid focus-tunable lens to systematically alter the focal plane position.
  • Acquiring multiple sinograms, each corresponding to a different focal plane state.
  • Independently reconstructing and stitching individual sinograms into a final 3D tomographic reconstruction.
  • Integrating the Generalized Total Variation Iterative Constraint algorithm to mitigate distortions from limited angular projections.

Main Results:

  • Achieved extended depth-of-field in limited-angle ODT.
  • Successfully applied the Rytov approximation to relatively thick biological samples.
  • Obtained uniform resolution across the entire 3D tomographic reconstruction.
  • Minimized reconstruction artifacts using the Generalized Total Variation Iterative Constraint algorithm.

Conclusions:

  • The novel method effectively extends the depth-of-field in limited-angle ODT.
  • This technique is suitable for investigating transparent and semi-transparent biological micro-structures, such as cells and tissue slices.
  • The combination of focus-tunable lens and advanced reconstruction algorithms provides high-resolution 3D imaging capabilities for biological samples.