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Full-field optical coherence microscopy with Riesz transform-based demodulation for dynamic imaging.

Stefan E Schausberger1, Bettina Heise, Swanhild Bernstein

  • 1Christian Doppler Laboratory for Microscopic and Spectroscopic Material Characterisation, Johannes Kepler University Linz, Linz A-4040, Austria. stefan.schausberger@jku.at

Optics Letters
|December 4, 2012
PubMed
Summary
This summary is machine-generated.

We developed a new dynamic optical coherence microscopy method using a scientific CMOS camera and Riesz transform-based demodulation. This technique enables advanced imaging for materials science applications.

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Area of Science:

  • Optics and Photonics
  • Materials Science
  • Biomedical Imaging

Background:

  • Dynamic full-field optical coherence microscopy (DFF-OCM) is crucial for observing time-varying structures.
  • Conventional methods often face limitations in speed and accuracy for dynamic processes.

Purpose of the Study:

  • To introduce a novel DFF-OCM technique utilizing a scientific complementary metal-oxide-semiconductor (sCMOS) camera.
  • To implement a demodulation scheme based on the Riesz transform and monogenic signals for enhanced imaging.
  • To validate the method's performance against established techniques and demonstrate its application in materials testing.

Main Methods:

  • Employed a scientific CMOS camera for high-speed image acquisition.
  • Utilized a demodulation scheme incorporating the Riesz transform and monogenic signals for phase and amplitude extraction.
  • Performed comparative analysis with phase-stepping and analytic reconstruction methods.
  • Applied the technique to dynamic mechanical testing of a polymer/fiber composite.

Main Results:

  • The proposed Riesz transform and monogenic signal-based demodulation scheme provides accurate dynamic imaging.
  • The method demonstrates comparable or superior performance to conventional phase-stepping and analytic reconstruction.
  • Successful application to dynamic mechanical testing of a polymer/fiber composite, revealing intricate structural responses.

Conclusions:

  • The developed DFF-OCM approach offers a robust and efficient tool for dynamic imaging applications.
  • This technique enhances the capability for analyzing time-dependent phenomena in materials science.
  • The Riesz transform and monogenic signal-based method shows significant potential for future research and industrial applications.