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

Deconvolution01:20

Deconvolution

Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
UV–Vis Spectrometers01:14

UV–Vis Spectrometers

The absorbance of UV and visible (UV–visible) radiations is measured using a UV–visible spectrophotometer. Deuterium lamps, which emit UV radiation, and tungsten lamps, which produce radiation in the visible region, are used as light sources in UV–visible spectrophotometers. A monochromator or prism is used for diffraction grating, i.e., to split the incoming radiation into different wavelengths. A system of slits is used to focus the desired wavelength on the sample cell. Samples for...
UV–Vis Spectroscopy: Woodward–Fieser Rules01:29

UV–Vis Spectroscopy: Woodward–Fieser Rules

UV–Visible absorption spectra of conjugated dienes arise from the lowest energy π → π* transitions. The light-absorbing part of the molecule is called the chromophore, and the substituents directly attached to the chromophore are called auxochromes. A strong correlation exists between the absorption maxima, λmax, and the structure of a conjugated π system. The Woodward–Fieser rules predict the value of λmax for a given structure by adding the contributions...
UV–Vis Spectroscopy: Molecular Electronic Transitions01:16

UV–Vis Spectroscopy: Molecular Electronic Transitions

In Ultraviolet–Visible (UV–Vis) spectroscopy, the absorption of electromagnetic radiation is used to probe the electronic structure of molecules. This technique provides insights into molecular electronic transitions, particularly the movement of electrons between different molecular orbitals. Radiation is absorbed if the energy of the electromagnetic radiation passing through the molecule is precisely equal to the energy difference between the excited and ground states. During this process,...
UV–Vis Spectroscopy of Conjugated Systems01:32

UV–Vis Spectroscopy of Conjugated Systems

Organic compounds with conjugated double bonds show strong absorption features in the UV–visible region of the electromagnetic spectrum attributed to π → π* electronic excitations. Generally, a UV–vis absorption spectrum is recorded as a plot of absorbance vs wavelength. The wavelength of maximum absorbance, which manifests as a peak in the absorption spectrum, is denoted as λmax.
One of the factors influencing λmax is the extent of conjugation in the...
Ultraviolet and Visible (UV–Vis) Spectroscopy: Overview01:02

Ultraviolet and Visible (UV–Vis) Spectroscopy: Overview

Ultraviolet–visible (UV–visible or UV–Vis) spectroscopy is an analytical technique that investigates the interaction between matter and UV–Vis light within the electromagnetic spectrum. This method is widely used for its versatility, simplicity, and relatively quick data acquisition, making it valuable for both qualitative and quantitative analysis. When UV–Vis radiation passes through a material,  molecules absorb light depending on the energy required for electronic transitions. As a result...

You might also read

Related Articles

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

Sort by
Same author

Extensive T1-weighted MRI preprocessing improves generalizability of deep brain age prediction models.

Computers in biology and medicine·2024
Same author

Deep geometric learning for intracranial aneurysm detection: towards expert rater performance.

Journal of neurointerventional surgery·2023
Same author

Extensive T1-weighted MRI Preprocessing Improves Generalizability of Deep Brain Age Prediction Models.

bioRxiv : the preprint server for biology·2023
Same author

MCDataset: a public reference dataset of Monte Carlo simulated quantities for multilayered and voxelated tissues computed by massively parallel PyXOpto Python package.

Journal of biomedical optics·2022
Same author

Deep Shape Features for Predicting Future Intracranial Aneurysm Growth.

Frontiers in physiology·2021
Same author

Fast and accurate Monte Carlo simulations of subdiffusive spatially resolved reflectance for a realistic optical fiber probe tip model aided by a deep neural network.

Biomedical optics express·2020
Same journal

EXPRESS: Anharmonic Debye-Waller Factor in the X-ray Absorption Fine Structure (XAFS) Spectroscopy of Silver: A Classical Statistical Approach.

Applied spectroscopy·2026
Same journal

EXPRESS: Identification of Unknown Peaks in Mass Spectra Based on the Characteristic Isotopic Pattern via the Hilbert-Noda Matrix.

Applied spectroscopy·2026
Same journal

EXPRESS: Precursor/Fragment Ion Identification from Bulk Analysis of a Mixture through Two-Dimensional Correlation Mass Spectrometry.

Applied spectroscopy·2026
Same journal

EXPRESS: Dye-Dependent Fluorescence Enhancement in ZnO Nanorod-Polymer Films: Excitation and Emission Contributions Probed by Time-Resolved Fluorescence.

Applied spectroscopy·2026
Same journal

EXPRESS: Deterministic Compressed Sensing in Time-Domain Spectroscopy.

Applied spectroscopy·2026
Same journal

EXPRESS: Multi-Parameter Wavelength Characterization of Array Spectrometers Under Near-Limit Sampling Conditions.

Applied spectroscopy·2026
See all related articles

Related Experiment Video

Updated: Jun 6, 2026

Three-dimensional Optical-resolution Photoacoustic Microscopy
08:31

Three-dimensional Optical-resolution Photoacoustic Microscopy

Published on: May 3, 2011

Deconvolution in acousto-optical tunable filter spectrometry.

Jaka Katrašnik1, Franjo Pernuš, Boštjan Likar

  • 1University of Ljubljana, Faculty of Electrical Engineering, Ljubljana, Slovenia. jaka.katrasnik@fe.uni-lj.si

Applied Spectroscopy
|November 16, 2010
PubMed
Summary
This summary is machine-generated.

Acousto-optical tunable filter (AOTF) spectrometers lack spectral resolution. A new procedure enhances resolution using deconvolution methods, improving performance for specific spectral types.

More Related Videos

Evanescent Field Based Photoacoustics: Optical Property Evaluation at Surfaces
10:21

Evanescent Field Based Photoacoustics: Optical Property Evaluation at Surfaces

Published on: July 26, 2016

Wideband Optical Detector of Ultrasound for Medical Imaging Applications
08:21

Wideband Optical Detector of Ultrasound for Medical Imaging Applications

Published on: May 11, 2014

Related Experiment Videos

Last Updated: Jun 6, 2026

Three-dimensional Optical-resolution Photoacoustic Microscopy
08:31

Three-dimensional Optical-resolution Photoacoustic Microscopy

Published on: May 3, 2011

Evanescent Field Based Photoacoustics: Optical Property Evaluation at Surfaces
10:21

Evanescent Field Based Photoacoustics: Optical Property Evaluation at Surfaces

Published on: July 26, 2016

Wideband Optical Detector of Ultrasound for Medical Imaging Applications
08:21

Wideband Optical Detector of Ultrasound for Medical Imaging Applications

Published on: May 11, 2014

Area of Science:

  • Spectroscopy
  • Optical Engineering
  • Signal Processing

Background:

  • Acousto-optical tunable filters (AOTFs) are increasingly used in spectroscopy for their advantages.
  • A key limitation of AOTF-based systems is their insufficient spectral resolution.
  • Applications include laser-induced breakdown, Raman, and gas absorption spectroscopy.

Purpose of the Study:

  • To propose and evaluate a procedure for enhancing spectral resolution in AOTF spectrometers.
  • To assess the effectiveness of various deconvolution techniques for this purpose.

Main Methods:

  • Characterization of the point spread function (PSF).
  • Spectrum preprocessing techniques.
  • Application and comparison of deconvolution algorithms: Wiener, Fourier-wavelet regularized (ForWaRD), Richardson-Lucy, and Wavelet-Lucy.
  • Performance evaluation using resolution enhancement and noise amplification metrics.

Main Results:

  • The proposed spectral resolution enhancement procedure is feasible.
  • Good results were achieved for line spectra and highly dynamic spectra.
  • Deconvolution methods demonstrated varying degrees of success in improving spectral resolution while managing noise.

Conclusions:

  • The developed method effectively enhances spectral resolution in AOTF-based spectroscopic systems.
  • This advancement is crucial for applications demanding high spectral fidelity.
  • Further research may optimize deconvolution parameters for broader applicability.