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Related Concept Videos

Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
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Updated: May 26, 2026

Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization
10:28

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Published on: July 5, 2016

Sampling and processing for compressive holography [Invited].

Sehoon Lim1, Daniel L Marks, David J Brady

  • 1Duke University Fitzpatrick Center for Photonics and Communications Systems, Durham, North Carolina 27705, USA.

Applied Optics
|December 24, 2011
PubMed
Summary
This summary is machine-generated.

Compressive holography uses sparsity to reconstruct images from limited digital holography data. This tutorial explores practical methods for 3D imaging and sparse aperture reconstruction.

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Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects
10:16

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects

Published on: February 8, 2014

Area of Science:

  • Optics and Photonics
  • Computational Imaging
  • Signal Processing

Background:

  • Digital holography captures complex wavefronts but often requires dense sampling.
  • Compressive sensing principles offer a path to reduce data acquisition requirements.
  • Reconstructing images from limited measurements is a key challenge in optical imaging.

Purpose of the Study:

  • To provide a tutorial on compressive holography techniques.
  • To demonstrate practical applications of compressive holography.
  • To cover essential procedures for image reconstruction in compressive holography.

Main Methods:

  • Applying sparsity priors to digital holography measurements.
  • Field propagation and reference filtering techniques.
  • Solving inverse problems for image reconstruction.

Main Results:

  • Demonstration of 3D tomography from 2D holograms.
  • Successful 2D image reconstruction from sparse apertures.
  • Estimation of diffuse objects using diverse speckle realizations.

Conclusions:

  • Compressive holography enables robust image reconstruction from undersampled data.
  • The presented methods offer practical solutions for various holographic imaging scenarios.
  • Sparsity-based approaches significantly enhance the capabilities of digital holography.