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

Storage01:23

Storage

A schema is a mental framework that helps individuals organize and interpret information. Schemata, formed from previous experiences, influence how we process new information: how we encode it, the inferences we make, and how we retrieve it. For instance, a schema for what a typical classroom looks like might include desks, a teacher's desk, a whiteboard, and students in such an environment. This expectation helps us quickly understand and navigate new classrooms without needing to analyze each...
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.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...

You might also read

Related Articles

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

Sort by
Same author

Nucleon mass from a covariant three-quark Faddeev equation.

Physical review letters·2010
Same author

Free-space optical collinear crossover interconnects.

Applied optics·2010
Same author

Fast digital optical multiplication using an array of binary symmetric logic counters.

Applied optics·2010
Same author

Optical higher-order symbolic recognition.

Applied optics·2010
Same author

Optical parallel register transfer microoperations using holographic symbolic substitutions.

Applied optics·2010
Same author

Liquid crystal TV-based white light optical tracking novelty filter.

Applied optics·2010
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

Related Experiment Video

Updated: Jun 12, 2026

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

Optical parallel image skeletonization using contentaddressable memory-based symbolic substitution.

G Eichmann, J Zhu, Y Li

    Applied Optics
    |June 10, 2010
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces two optical algorithms for image skeletonization using pattern matching and symbolic substitution. An optical hologram-based memory system enables efficient character skeletonization.

    More Related Videos

    Agarose-based Tissue Mimicking Optical Phantoms for Diffuse Reflectance Spectroscopy
    09:25

    Agarose-based Tissue Mimicking Optical Phantoms for Diffuse Reflectance Spectroscopy

    Published on: August 22, 2018

    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

    Related Experiment Videos

    Last Updated: Jun 12, 2026

    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

    Agarose-based Tissue Mimicking Optical Phantoms for Diffuse Reflectance Spectroscopy
    09:25

    Agarose-based Tissue Mimicking Optical Phantoms for Diffuse Reflectance Spectroscopy

    Published on: August 22, 2018

    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

    Area of Science:

    • Computer Science
    • Optics
    • Image Processing

    Background:

    • Skeletonization is a crucial image processing technique for reducing shapes to a single-pixel width.
    • Existing skeletonization methods often require significant computational resources.
    • Optical implementations offer potential for high-speed parallel processing.

    Purpose of the Study:

    • To develop and present two novel optical algorithms for image skeletonization.
    • To demonstrate the feasibility of an optical implementation using hologram-based content-addressable memory.
    • To showcase the application of these algorithms in character skeletonization.

    Main Methods:

    • The proposed algorithms utilize matching between input images and precalculated parallel check patterns.
    • Multistage symbolic substitution operations are employed based on matching results.
    • An optical hologram-based content-addressable memory (CAM) system is utilized for optical implementation.

    Main Results:

    • Successful skeletonization of images was achieved using the developed optical algorithms.
    • The optical architecture for implementing the algorithms was presented.
    • Examples of character skeletonization using the proposed optical method were demonstrated.

    Conclusions:

    • The presented optical algorithms offer an efficient approach to image skeletonization.
    • Hologram-based CAM provides a viable platform for high-speed optical skeletonization.
    • The methods show promise for applications requiring rapid shape analysis.