Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Aliasing01:18

Aliasing

400
Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...
400
Upsampling01:22

Upsampling

470
Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
470
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

561
Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
561

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Visualizing the impact of quenched disorder on 2D electron Wigner solids.

Nature·2026
Same author

Eye tracking with a diffractive AR waveguide.

Optics letters·2026
Same author

Model-Driven Deep Learning Enables Speckle-Free Holography for 3D Parallel Nanofabrication.

Research (Washington, D.C.)·2026
Same author

Autofocusing optical-resolution photoacoustic microscopy.

Ultrasonics·2026
Same author

Twisted-Nematic Liquid Crystal-Infiltrated Bilayer Metasurface for Circular-Polarization LCoS Devices.

ACS applied optical materials·2026
Same author

Single-shot, reference-less computational wavefront sensing for complex optical fields.

Light, science & applications·2026
Same journal

Long-term stabilization of intensity-difference squeezing from four-wave mixing in rubidium vapor.

Optics express·2026
Same journal

Robust 3D topography measurement of large-range high-aspect-ratio structures based on dual-domain statistical filtering in SD-OCT.

Optics express·2026
Same journal

Broadband transmissive terahertz metasurface for simultaneous quad-mode OAM multiplexing.

Optics express·2026
Same journal

Leveraging two-dimensional materials for high-sensitivity optical sensors: quasi-bound states in the continuum within hybrid metasurfaces.

Optics express·2026
Same journal

Resolution investigation for dual-spherical-wave optical scanning holographic microscopy: methods and performance.

Optics express·2026
Same journal

Robustness of parallel subnetwork-filtered diffractive deep neural networks.

Optics express·2026
See all related articles

Related Experiment Video

Updated: Nov 24, 2025

Quantifying Microorganisms at Low Concentrations Using Digital Holographic Microscopy DHM
07:27

Quantifying Microorganisms at Low Concentrations Using Digital Holographic Microscopy DHM

Published on: November 1, 2017

10.7K

Optimal quantization for amplitude and phase in computer-generated holography.

Zehao He, Xiaomeng Sui, Guofan Jin

    Optics Express
    |December 28, 2020
    PubMed
    Summary
    This summary is machine-generated.

    Quantizing computer-generated holograms (CGHs) impacts reconstruction quality. This study evaluates quantization effects and suggests optimal parameters for spatial light modulators (SLMs).

    More Related Videos

    Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator
    08:39

    Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator

    Published on: January 28, 2019

    10.1K
    Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization
    10:28

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

    Published on: July 5, 2016

    10.5K

    Related Experiment Videos

    Last Updated: Nov 24, 2025

    Quantifying Microorganisms at Low Concentrations Using Digital Holographic Microscopy DHM
    07:27

    Quantifying Microorganisms at Low Concentrations Using Digital Holographic Microscopy DHM

    Published on: November 1, 2017

    10.7K
    Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator
    08:39

    Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator

    Published on: January 28, 2019

    10.1K
    Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization
    10:28

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

    Published on: July 5, 2016

    10.5K

    Area of Science:

    • Optics and Photonics
    • Digital Holography
    • Computational Imaging

    Background:

    • Spatial light modulators (SLMs) typically require quantized computer-generated holograms (CGHs) due to hardware limitations.
    • Quantization of continuous complex-amplitude CGHs into amplitude-only or phase-only formats degrades holographic reconstruction quality.

    Purpose of the Study:

    • To systematically evaluate the impact of amplitude and phase quantization on holographic reconstruction fidelity.
    • To identify optimal CGH parameters for improved reconstruction quality with existing and future SLM technologies.

    Main Methods:

    • A traversing method was employed to analyze the influence of quantization on holographic reconstructions.
    • Key CGH parameters including resolution, zero-padding, reconstruction distance, wavelength, random phase, pixel pitch, bit depth, phase modulation deviation, and filling factor were investigated.

    Main Results:

    • Quantization significantly affects holographic reconstruction quality, with varying impacts from amplitude versus phase modulation.
    • The study identified specific parameter ranges that mitigate reconstruction degradation caused by quantization.

    Conclusions:

    • Optimal quantization strategies and parameter settings are crucial for maximizing holographic reconstruction quality on SLMs.
    • The findings provide guidance for designing and implementing CGHs for practical holographic display and imaging applications.