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Related Experiment Video

Updated: Jun 15, 2026

Fabrication of a Low-Cost, Fiber-Coupled, and Air-Spaced Fabry-Pérot Etalon
07:22

Fabrication of a Low-Cost, Fiber-Coupled, and Air-Spaced Fabry-Pérot Etalon

Published on: February 3, 2023

Tunable spatial filtering with a Fabry-Perot etalon.

G Indebetouw

    Applied Optics
    |March 12, 2010
    PubMed
    Summary
    This summary is machine-generated.

    A Fabry-Perot etalon acts as a tunable spatial filter, selecting specific light propagation directions. This innovation aids image processing and pattern recognition by filtering object angular spectra.

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    Area of Science:

    • Optics
    • Image Processing
    • Pattern Recognition

    Background:

    • Spatial filtering is crucial for image analysis.
    • Controlling the angular spectrum of light enables advanced optical applications.

    Purpose of the Study:

    • To introduce a novel tunable spatial filter.
    • To demonstrate the use of a Fabry-Perot etalon for angular spectrum selection.

    Main Methods:

    • Utilizing a Fabry-Perot etalon in the image plane.
    • Implementing the etalon for arbitrary direction selection within the angular spectrum.

    Main Results:

    • A simple, widely tunable spatial filter was developed.
    • The filter effectively selects specific propagation directions.

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    Last Updated: Jun 15, 2026

    Fabrication of a Low-Cost, Fiber-Coupled, and Air-Spaced Fabry-Pérot Etalon
    07:22

    Fabrication of a Low-Cost, Fiber-Coupled, and Air-Spaced Fabry-Pérot Etalon

    Published on: February 3, 2023

    High Speed Sub-GHz Spectrometer for Brillouin Scattering Analysis
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    High Speed Sub-GHz Spectrometer for Brillouin Scattering Analysis

    Published on: December 22, 2015

    Design and Characterization Methodology for Efficient Wide Range Tunable MEMS Filters
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    Design and Characterization Methodology for Efficient Wide Range Tunable MEMS Filters

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    Conclusions:

    • The Fabry-Perot etalon offers a versatile tool for optical filtering.
    • This technique has potential applications in image processing and pattern recognition.