Related Experiment Video
Updated: Jul 18, 2026

11:15
A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors
Published on: May 30, 2016
Fourier transform approach for thickness estimation of reflecting interference filters. 2. Generalized theory
1Institute for Microstructural Sciences, National Research Council of Canada, Ottawa, Ontario, Canada. pierre.verly@nrc.ca
Applied Optics
|December 15, 2006
Summary
A new Fourier transform (FT) method estimates thin-film dielectric filter thickness using optical density and bandwidth. The approach is generalized for complex filter designs, showing good results are achievable.
Area of Science:
- Optics and Photonics
- Materials Science
- Spectroscopy
Background:
- Accurate thickness estimation of thin-film dielectric filters is crucial for optical performance.
- Previous methods often have limitations in handling complex filter configurations.
Purpose of the Study:
- To generalize a Fourier transform (FT) approach for estimating the thickness of various reflecting thin-film dielectric filters.
- To validate the extended theory with numerical examples.
Main Methods:
- Utilizing the optical-density-bandwidth product within the spectral region of interest.
- Applying Fourier transform (FT) principles to spectral data.
- Extending the theory beyond simple immersed coatings to more realistic filter configurations.
Main Results:
- The generalized Fourier transform (FT) theory successfully estimates the thickness of more complex thin-film dielectric filters.
- Numerical examples confirm the effectiveness of the extended approach.
- The method demonstrates good results despite increased complexity from a Fourier transform (FT) perspective.
Conclusions:
- The generalized Fourier transform (FT) method provides a robust technique for thin-film filter thickness estimation.
- This approach offers improved applicability to real-world optical filter designs.
- The study confirms the viability of FT-based methods for advanced optical filter characterization.
Related Concept Videos
Interference and Diffraction
Interference is a characteristic phenomenon exhibited by waves. When two electromagnetic waves interact with their peaks and troughs coinciding, a resulting wave with enhanced amplitude is produced. This is known as constructive interference. In this case, the two waves interacting are in phase with each other.
Properties of Fourier Transform II
The Fourier Transform (FT) is an essential mathematical tool in signal processing, transforming a time-domain signal into its frequency-domain representation. This transformation elucidates the relationship between time and frequency domains through several properties, each revealing unique aspects of signal behavior.
The Frequency Shifting property of Fourier Transforms highlights that a shift in the frequency domain corresponds to a phase shift in the time domain. Mathematically, if x(t) has...
The Frequency Shifting property of Fourier Transforms highlights that a shift in the frequency domain corresponds to a phase shift in the time domain. Mathematically, if x(t) has...
Interference: Path Lengths
Consider two sources of sound, that may or may not be in phase, emitting waves at a single frequency, and consider the frequencies to be the same.
Two special sources may be considered when they are in phase. This can be easily achieved by feeding the two sources from the same source. An example would be synchronizing the two speakers by feeding them with the same source, such as the sound waves produced by a tuning fork. This setup ensures that the two sources have the same frequency and are...
Two special sources may be considered when they are in phase. This can be easily achieved by feeding the two sources from the same source. An example would be synchronizing the two speakers by feeding them with the same source, such as the sound waves produced by a tuning fork. This setup ensures that the two sources have the same frequency and are...
Properties of Fourier Transform I
The application of Fourier Transform properties in radio broadcasting is multifaceted, enabling significant advancements in the way signals are transmitted and received. Key areas where these properties are utilized include simultaneous multi-channel transmission, audio clip speed adjustments, live broadcast delays for different time zones, audio frequency adjustments, and signal demodulation.
In radio broadcasting, multiple audio signals often need to be transmitted simultaneously. The Fourier...
In radio broadcasting, multiple audio signals often need to be transmitted simultaneously. The Fourier...
Iterated Integrals and Fubini's Theorem
A double integral generalizes the concept of a single-variable integral to functions of two variables, enabling the computation of the volume beneath a surface z = f(x, y) over a planar region R . For a rectangular region defined by a ≤ x ≤ b and c ≤ y ≤ d, and for functions continuous on this domain, the double integral can be evaluated as an iterated integral. This approach simplifies computation by reducing the problem to successive integrations with respect to one variable at a...
Convergence of Fourier Series
The Fourier series is a powerful mathematical tool for representing periodic signals as an infinite sum of complex exponentials. In practice, this infinite series is truncated to a finite number of terms, yielding a partial sum. This truncation makes the approximation of the signal feasible but introduces certain challenges, particularly near discontinuities, known as the Gibbs phenomenon.
The Gibbs phenomenon refers to the persistent oscillations and overshoots that occur near discontinuities...
The Gibbs phenomenon refers to the persistent oscillations and overshoots that occur near discontinuities...

