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Related Concept Videos

Bandpass Sampling01:17

Bandpass Sampling

In signal processing, bandpass sampling is an effective technique for sampling signals that have most of their energy concentrated within a narrow frequency band. This type of signal is known as a bandpass signal. The key principle of bandpass sampling involves sampling the signal at a rate that is greater than twice the signal's bandwidth to prevent aliasing.
A bandpass signal has a spectrum with a lower frequency limit, denoted as ω1, and an upper frequency limit, denoted as ω2. The spectrum...

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Updated: May 26, 2026

Quantifying Microorganisms at Low Concentrations Using Digital Holographic Microscopy (DHM)
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Quantitative space-bandwidth product analysis in digital holography.

Daniel Claus1, Daciana Iliescu, Peter Bryanston-Cross

  • 1Kroto Research Institute, University of Sheffield,S3 7HQ, Sheffield, UK. d.claus@sheffield.ac.uk

Applied Optics
|December 24, 2011
PubMed
Summary

Digital holography

Area of Science:

  • Optics and Photonics
  • Information Theory
  • Digital Imaging

Background:

  • The space-bandwidth product (SBP) quantifies the information capacity of optical systems.
  • Digital holography involves recording and reconstructing holographic data.
  • Understanding SBP is crucial for optimizing holographic system performance.

Purpose of the Study:

  • To analyze the space-bandwidth product (SBP) requirements for digital holography recording and reconstruction.
  • To investigate different holographic recording setups (Fresnel, Fourier, image-plane) in terms of SBP.
  • To determine the optimal SBP-adapted digital holographic setup.

Main Methods:

  • Analysis of interference patterns in the hologram plane to determine required SBP for recording.

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  • Application of the paraxial diffraction model to simulate light propagation.
  • Definition of SBP in reconstruction as the product of field-of-view and spatial frequency bandwidth.

    • Main Results:

    • Calculated the necessary SBP for accurate recording of object information across different holographic configurations.
    • Quantified the SBP in the reconstruction phase based on field-of-view and spatial frequency.
    • Identified key parameters influencing SBP in both recording and reconstruction.

    Conclusions:

    • The study provides a framework for selecting digital holographic setups based on SBP.
    • Optimizing SBP is essential for maximizing information capacity in digital holography.
    • This analysis guides the design of efficient SBP-adapted holographic systems.