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 Experiment Video

Updated: Jun 12, 2026

Optrode Array for Simultaneous Optogenetic Modulation and Electrical Neural Recording
06:36

Optrode Array for Simultaneous Optogenetic Modulation and Electrical Neural Recording

Published on: September 1, 2022

Multimatched filtering using a microlens array for an optical-neural pattern recognition system.

M Agu, A Akiba, T Mochizuki

    Applied Optics
    |June 26, 2010
    PubMed
    Summary
    This summary is machine-generated.

    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

    Image multiplexer using a planar microlens array.

    Applied optics·2010
    Same author

    Graded-index lens array matched filtering.

    Optics letters·2009
    Same author

    Two cases of cutaneous phaeohyphomycosis due to Exophiala jeanselmei: diagnostic significance of direct microscopical examination of the purulent discharge.

    Clinical and experimental dermatology·2009
    Same author

    Feeding-elicited cataplexy in orexin knockout mice.

    Neuroscience·2009
    Same author

    Genotyping of Trichophyton tonsurans isolate from a Japanese boy reveals infection in the USA.

    Clinical and experimental dermatology·2009
    Same author

    Topographic analysis of the inferior parietal lobule in high-resolution 3D MR imaging.

    AJNR. American journal of neuroradiology·2009
    Same journal

    Multifunctional reconfigurable terahertz metasurface based on vanadium dioxide phase transition: achieving broadband absorption and efficient polarization conversion.

    Applied optics·2026
    Same journal

    High-Q-factor electromagnetically induced transparency utilizing quasi-bound states in the continuum in an all-dielectric terahertz metasurface.

    Applied optics·2026
    Same journal

    Automated stitching interferometry for high-precision metrology of X-ray mirrors.

    Applied optics·2026
    Same journal

    Experimental demonstration of an approach to designing a metal-dielectric DBR resonant cavity structure.

    Applied optics·2026
    Same journal

    High-precision wavefront reconstruction from a single-shot interferogram using a physics-driven hybrid feature calibration network.

    Applied optics·2026
    Same journal

    Ultra-high-Q Fano resonance based on coupled topological corner states in Kagome photonic crystals.

    Applied optics·2026
    See all related articles

    This study demonstrates a novel optical-neural recognition system using a planar microlens array for parallel information processing. The system efficiently extracts features from input patterns via optical correlations with spatial filters.

    Area of Science:

    • Optics and Photonics
    • Computer Vision
    • Neural Networks

    Background:

    • Flexible parallel information processing is crucial for advanced computational tasks.
    • Optical-neural recognition systems offer potential for high-speed data analysis.
    • Feature extraction is a key step in pattern recognition.

    Purpose of the Study:

    • To propose and experimentally validate an optical-neural recognition system for flexible parallel processing.
    • To demonstrate the efficacy of a multimatched filtering system for optical feature extraction.
    • To detail the components of the proposed optical feature extraction system.

    Main Methods:

    • Utilizing a planar microlens array to generate simultaneous Fourier transforms of input patterns.
    • Implementing parallel feature extraction through optical correlations with spatial filters.

    More Related Videos

    Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters
    14:58

    Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters

    Published on: June 2, 2010

    Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
    11:54

    Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

    Published on: March 13, 2017

    Related Experiment Videos

    Last Updated: Jun 12, 2026

    Optrode Array for Simultaneous Optogenetic Modulation and Electrical Neural Recording
    06:36

    Optrode Array for Simultaneous Optogenetic Modulation and Electrical Neural Recording

    Published on: September 1, 2022

    Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters
    14:58

    Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters

    Published on: June 2, 2010

    Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
    11:54

    Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

    Published on: March 13, 2017

  • Experimentally configuring a multimatched filtering system.

    • Main Results:

    • The proposed system successfully performs parallel information processing.
    • Experimental validation confirms the feasibility of the optical feature extraction component.
    • A planar array of graded index microlenses (1.05-mm diameter, 2.6-mm focal length) was employed.

    Conclusions:

    • The developed optical-neural recognition system enables efficient parallel processing.
    • The multimatched filtering system using microlenses is a viable approach for optical feature extraction.
    • This technology holds promise for high-speed pattern recognition applications.