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Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization
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Improved depth resolution by single-exposure in-line compressive holography.

Yair Rivenson1, Adrian Stern, Bahram Javidi

  • 1Department of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel.

Applied Optics
|January 8, 2013
PubMed
Summary

Compressive-sensing theory enhances single-exposure in-line holography (SEOL) for improved 3D cell identification. This digital holographic method achieves high resolution and field of view, even in noisy conditions.

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Area of Science:

  • Digital holography
  • Optical microscopy
  • Biomedical imaging

Background:

  • Single-exposure in-line holography (SEOL) is a digital holographic technique utilized for cell identification.
  • Existing SEOL setups face limitations in three-dimensional performance and resolution, particularly in noisy environments.

Purpose of the Study:

  • To enhance the three-dimensional performance of the SEOL holography setup.
  • To improve depth-resolution features and enable robust imaging in noisy conditions.
  • To combine the advantages of in-line and off-axis holography.

Main Methods:

  • Application of compressive-sensing theory to the SEOL holography setup.
  • Proper modeling of the holographic sensing process.
  • Optimization of reference and object-beam amplitude partition.

Main Results:

  • Demonstrated improved three-dimensional performance of the SEOL setup.
  • Achieved enhanced depth-resolution features, particularly in noisy environments.
  • The compressive SEOL setup approaches ideal performance with optimized beam partition.

Conclusions:

  • Compressive-sensing theory significantly improves SEOL holography for 3D cell identification.
  • The optimized setup recovers low-signal-to-noise objects and offers rapid acquisition rates.
  • This approach merges high resolution and field of view of in-line holography with benefits of off-axis setups.