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

NMR Spectrometers: Resolution and Error Correction01:14

NMR Spectrometers: Resolution and Error Correction

When magnetic nuclei in a sample achieve resonance and undergo relaxation, the signal detected in NMR is an approximately exponential free induction decay. Fourier transform of an exponential decay yields a Lorentzian peak in the frequency domain. Lorentzian peaks in an NMR spectrum are defined by their amplitude, full width at half maximum, and position, where the peak width is governed by the spin-spin relaxation time alone. In real experiments, however, the applied magnetic field is rendered...
IR Spectroscopy: Hooke's Law Approximation of Molecular Vibration01:16

IR Spectroscopy: Hooke's Law Approximation of Molecular Vibration

A covalently bonded heteronuclear diatomic molecule can be modeled as two vibrating masses connected by a spring. The vibrational frequency of the bond can be expressed using an equation derived from Hooke's law, which describes how the force applied to stretch or compress a spring is proportional to the displacement of the spring. In this case, the atoms behave like masses, and the bond acts like a spring.
According to Hooke's law, the vibrational frequency is directly proportional to the...
Distance Corrections01:15

Distance Corrections

To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...

You might also read

Related Articles

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

Sort by
Same author

Electron cyclotron resonance ion source plasma chamber studies using a network analyzer as a loaded cavity probe.

The Review of scientific instruments·2012
Same author

Increased incidence of Mycoplasma pneumoniae infection in Finland, 2010-2011.

Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin·2012
Same author

Invited article: Electric solar wind sail: toward test missions.

The Review of scientific instruments·2010
Same author

Spectral line-shape distortions in Michelson interferometers due to off-focus radiation source.

Applied optics·2010
Same author

Interferometric calibration of gauge blocks by using one stabilized laser and a white-light source.

Applied optics·2010
Same author

Line-shape distortions in misaligned cube corner interferometers.

Applied optics·2010

Related Experiment Video

Updated: Jun 15, 2026

An Introduction to Processing, Fitting, and Interpreting Transient Absorption Data
08:12

An Introduction to Processing, Fitting, and Interpreting Transient Absorption Data

Published on: February 16, 2024

Correcting errors in the optical path difference in Fourier spectroscopy: a new accurate method.

J Kauppinen, T Kärkköinen, E Kyrö

    Applied Optics
    |March 4, 2010
    PubMed
    Summary

    A new computational method accurately corrects Fourier spectrometer errors using a single interferogram and spectral line. This technique effectively cancels linear phase errors, improving spectral data quality.

    More Related Videos

    Proton Transfer and Protein Conformation Dynamics in Photosensitive Proteins by Time-resolved Step-scan Fourier-transform Infrared Spectroscopy
    10:03

    Proton Transfer and Protein Conformation Dynamics in Photosensitive Proteins by Time-resolved Step-scan Fourier-transform Infrared Spectroscopy

    Published on: June 27, 2014

    The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry
    12:14

    The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry

    Published on: August 12, 2013

    Related Experiment Videos

    Last Updated: Jun 15, 2026

    An Introduction to Processing, Fitting, and Interpreting Transient Absorption Data
    08:12

    An Introduction to Processing, Fitting, and Interpreting Transient Absorption Data

    Published on: February 16, 2024

    Proton Transfer and Protein Conformation Dynamics in Photosensitive Proteins by Time-resolved Step-scan Fourier-transform Infrared Spectroscopy
    10:03

    Proton Transfer and Protein Conformation Dynamics in Photosensitive Proteins by Time-resolved Step-scan Fourier-transform Infrared Spectroscopy

    Published on: June 27, 2014

    The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry
    12:14

    The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry

    Published on: August 12, 2013

    Area of Science:

    • Spectroscopy
    • Computational methods
    • Optical engineering

    Background:

    • Fourier Transform Spectroscopy (FTS) is a powerful technique for spectral analysis.
    • Accurate optical path difference (OPD) determination is crucial for high-fidelity spectral data.
    • Existing methods for OPD error correction can be complex or require specific experimental conditions.

    Purpose of the Study:

    • To present a novel computational method for calculating and correcting OPD errors in Fourier spectrometers.
    • To demonstrate a method that simplifies error correction by requiring only a one-sided interferogram and a single spectral line.
    • To address and cancel linear phase errors inherent in spectral measurements.

    Main Methods:

    • Development of a new computational algorithm for OPD error analysis.
    • Utilizing a one-sided interferogram as input data.
    • Employing a single, well-separated spectral line for calibration.
    • Theoretical framework detailing the error cancellation process.

    Main Results:

    • The method successfully calculates and corrects OPD errors.
    • Linear phase errors are effectively canceled by the proposed technique.
    • Simulations confirm the method's accuracy and usefulness for spectral data.
    • Practical application demonstrates real-world efficacy.

    Conclusions:

    • The presented computational method offers an efficient and accurate approach to correcting OPD errors in Fourier spectrometers.
    • Its simplicity, requiring minimal input data, makes it broadly applicable.
    • The technique enhances the reliability and precision of spectral measurements obtained via FTS.