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Related Concept Videos

Atomic Force Microscopy01:08

Atomic Force Microscopy

Atomic force microscopy (AFM) is a type of scanning probe microscopy that can analyze topographic details of various specimens like ceramics, glass, polymers, and biological samples. AFM offers over 1000 times more resolution than the optical imaging system. Images generated from AFM are three-dimensional surface profiles, offering an advantage over the flat, two-dimensional images from other imaging techniques.
The AFM Probe
The probe is regarded as the heart of any AFM setup and comprises the...

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Related Experiment Video

Updated: Jun 12, 2026

Micro/Nano-scale Strain Distribution Measurement from Sampling Moiré Fringes
06:56

Micro/Nano-scale Strain Distribution Measurement from Sampling Moiré Fringes

Published on: May 23, 2017

Automatic fringe detection algorithm used for moire deflectometry.

M Servin, R Rodriguez-Vera, M Carpio

    Applied Optics
    |June 23, 2010
    PubMed
    Summary
    This summary is machine-generated.

    An automatic fringe detection algorithm uses a dynamic "rubber band" approach to accurately track moire fringes. This method precisely measures fringe deformation for moire deflectometry applications.

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    Last Updated: Jun 12, 2026

    Micro/Nano-scale Strain Distribution Measurement from Sampling Moiré Fringes
    06:56

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    Published on: May 23, 2017

    High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
    11:34

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    Published on: December 3, 2013

    Covalent Attachment of Single Molecules for AFM-based Force Spectroscopy
    10:37

    Covalent Attachment of Single Molecules for AFM-based Force Spectroscopy

    Published on: March 16, 2020

    Area of Science:

    • Optics and Photonics
    • Image Processing
    • Metrology

    Background:

    • Moire deflectometry is a technique used for optical testing and metrology.
    • Accurate fringe detection is crucial for quantitative analysis in moire deflectometry.
    • Existing fringe detection methods can be sensitive to noise and deformations.

    Purpose of the Study:

    • To develop an automatic fringe detection algorithm for moire deflectometry.
    • To create a dynamic algorithm capable of tracking deforming moire fringes.
    • To enable precise measurement of fringe patterns for optical analysis.

    Main Methods:

    • A novel algorithm based on a linked set of points, mimicking a "rubber band" behavior.
    • Points are attracted to moire fringes, achieving regular spacing along the fringe pattern.
    • The algorithm dynamically tracks fringe deformations in real-time.

    Main Results:

    • The algorithm successfully identifies and aligns points with moire fringes.
    • It accurately determines fringe coordinates even under continuous deformation.
    • The distance of adapted points to a reference line is calculated, fulfilling deflectometry requirements.

    Conclusions:

    • The proposed automatic fringe detection algorithm is effective for moire deflectometry.
    • Its dynamic nature allows for tracking complex and deforming fringe patterns.
    • This method enhances the precision and robustness of optical metrology using moire techniques.