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

You might also read

Related Articles

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

Sort by
Same author

Rational design and synthesis of TBC1D2 inhibitors: Augmenting autophagy to improve sorafenib sensitivity in hepatocellular carcinoma.

European journal of medicinal chemistry·2026
Same author

Recurrent lung cancer with multi-organ metastases showing remarkable regression after two weeks of targeted therapy: a case report.

Journal of cardiothoracic surgery·2026
Same author

The prognostic value of immunoscore in colorectal cancer liver metastases: a meta-analysis reveals the superiority of metastatic over primary tumor profiling.

BMC cancer·2026
Same author

Neuroimmunometabolic co-evolution in the tumor micro- and macroenvironment.

Cell metabolism·2026
Same author

Exosome-Based Cartilage-Targeted Delivery System: Strategies and Applications.

Small science·2026
Same author

Utilization of Miniature CRISPR-AsCas12f1 Nuclease for Efficient Genome Editing in Bacillus subtilis.

Biotechnology journal·2025

Related Experiment Video

Updated: May 3, 2026

Evaluation and Manipulation of Neural Activity Using Two-Photon Holographic Microscopy
10:09

Evaluation and Manipulation of Neural Activity Using Two-Photon Holographic Microscopy

Published on: September 16, 2022

4.0K

Angle-multiplexed holography based on optical diffractive neural networks.

Ruiqi Yin, Haodong Zhu, Zhengyu Chen

    Optics Letters
    |May 1, 2026
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces angle-multiplexed holography using an optical diffractive neural network. The novel method enables high-capacity, low-crosstalk parallel light-field manipulation with dynamic holographic storage and angle-selective reconstruction.

    More Related Videos

    Demonstration of Spin-Multiplexed and Direction-Multiplexed All-Dielectric Visible Metaholograms
    08:48

    Demonstration of Spin-Multiplexed and Direction-Multiplexed All-Dielectric Visible Metaholograms

    Published on: September 25, 2020

    5.3K
    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

    9.5K

    Related Experiment Videos

    Last Updated: May 3, 2026

    Evaluation and Manipulation of Neural Activity Using Two-Photon Holographic Microscopy
    10:09

    Evaluation and Manipulation of Neural Activity Using Two-Photon Holographic Microscopy

    Published on: September 16, 2022

    4.0K
    Demonstration of Spin-Multiplexed and Direction-Multiplexed All-Dielectric Visible Metaholograms
    08:48

    Demonstration of Spin-Multiplexed and Direction-Multiplexed All-Dielectric Visible Metaholograms

    Published on: September 25, 2020

    5.3K
    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

    9.5K

    Area of Science:

    • Optics and Photonics
    • Computational Imaging
    • Holography

    Background:

    • Traditional holography faces limitations in storage capacity and crosstalk.
    • Dynamic holographic storage requires advanced modulation capabilities.
    • Optical diffractive neural networks offer a new paradigm for light field manipulation.

    Purpose of the Study:

    • To develop an angle-multiplexed holography technique using an optical diffractive neural network.
    • To enhance optical field modulation and angular channel independence.
    • To achieve high-capacity, low-crosstalk parallel light-field manipulation.

    Main Methods:

    • A multi-level cascaded diffractive structure was designed.
    • Five layers of trainable phase masks were employed.
    • Angle-selective reconstruction was performed across 120 distinct channels.

    Main Results:

    • High-quality dynamic holographic storage was achieved.
    • An average peak signal-to-noise ratio (PSNR) exceeding 22 dB was obtained.
    • Experimental validation confirmed the theoretical design's feasibility.

    Conclusions:

    • The proposed method offers a new approach for flexible, high-capacity, and low-crosstalk parallel light-field manipulation.
    • This technique advances dynamic holographic storage and angle-selective reconstruction.
    • The optical diffractive neural network provides enhanced control over optical fields.