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Computed optical interferometric tomography for high-speed volumetric cellular imaging.

Yuan-Zhi Liu1, Nathan D Shemonski1, Steven G Adie2

  • 1Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, 405 North Mathews Avenue, Urbana, Illinois 61801, USA ; Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 1406 West Green Street, Urbana, Illinois 61801, USA.

Biomedical Optics Express
|November 18, 2014
PubMed
Summary

This study combines optical coherence microscopy (OCM) with advanced computational imaging techniques to enable high-speed, 3D cellular imaging. The new method overcomes depth-of-field limitations and optical aberrations for clearer cellular visualization.

Keywords:
(090.1000) Aberration compensation(100.3200) Inverse scattering(110.1758) Computational imaging(170.4500) Optical coherence tomography(170.6900) Three-dimensional microscopy(180.3170) Interference microscopy

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Area of Science:

  • Biophotonics
  • Cellular Imaging
  • Optical Microscopy

Background:

  • High-resolution 3D imaging is crucial for cellular research.
  • Optical coherence microscopy (OCM) offers high axial and lateral resolution but suffers from shallow depth of field and aberration sensitivity.
  • Existing computational techniques like interferometric synthetic aperture microscopy (ISAM) and computational adaptive optics (CAO) address these limitations in optical coherence tomography (OCT).

Purpose of the Study:

  • To develop a high-speed, 3D volumetric cellular imaging technique by integrating OCM with ISAM and CAO.
  • To overcome the inherent depth-of-field limitations and optical aberration sensitivity of OCM.
  • To demonstrate the applicability of the combined technique across various biological samples.

Main Methods:

  • Integration of Optical Coherence Microscopy (OCM) with Interferometric Synthetic Aperture Microscopy (ISAM) and Computational Adaptive Optics (CAO).
  • Utilized high-numerical-aperture objectives for enhanced resolution.
  • Employed computational imaging algorithms to reconstruct volumetric data and correct for aberrations.

Main Results:

  • Achieved high-speed volumetric cellular imaging.
  • Successfully imaged ex vivo human breast and mouse brain tissues.
  • Demonstrated imaging of in vitro fibroblast cells in 3D scaffolds.
  • Showcased in vivo imaging of human skin.

Conclusions:

  • The combined OCM, ISAM, and CAO technique significantly enhances volumetric cellular imaging capabilities.
  • This integrated approach offers substantial potential for high-speed, high-resolution cellular visualization in diverse biological and clinical applications.
  • The method effectively addresses key limitations of traditional OCM, paving the way for advanced cellular research.