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

You might also read

Related Articles

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

Sort by
Same author

RBM39 upregulation promotes ostium re-obstruction after endoscopic endonasal dacryocystorhinostomy (En-DCR).

BMC molecular and cell biology·2026
Same author

A Lipoxygenase 3 mutation reverses growth phenotypes in an Arabidopsis Plastid Lipase 3 overexpression line.

PloS one·2026
Same author

A photoelectrochemical signal amplification mechanism with Exonuclease III driven stable generation of "Swing Arm" tetrahedral DNA walkers for mediating photogenerated carrier transfer.

Analytica chimica acta·2026
Same author

An explainable streaming early identification model for early neurological deterioration based on coordinated fusion of ECG waveforms and vital signs.

Frontiers in neurology·2026
Same author

Geospatial Access to Pediatric Cardiac and Cardiac-Surgical Services by Neighborhood-Level Determinants of Health.

Journal of the American Heart Association·2026
Same author

Effect of Annealing on Electrical and Optical Properties of Tin-Doped Vanadium Oxide Films for Microbolometer Applications.

Nanomaterials (Basel, Switzerland)·2026

Related Experiment Video

Updated: Dec 30, 2025

Dependence of Laser-induced Breakdown Spectroscopy Results on Pulse Energies and Timing Parameters Using Soil Simulants
08:53

Dependence of Laser-induced Breakdown Spectroscopy Results on Pulse Energies and Timing Parameters Using Soil Simulants

Published on: September 23, 2013

11.6K

Modeling of laser-induced breakdown spectroscopic data analysis by an automatic classifier.

David D Pokrajac1, Poopalasingam Sivakumar2, Yuriy Markushin1

  • 11Delaware State University, Dover, DE 19901 USA.

International Journal of Data Science and Analytics
|January 28, 2020
PubMed
Summary

This study designs an optimal classifier for Laser-Induced Breakdown Spectroscopy (LIBS) data. A quadratic classifier is found to be optimal for Gaussian signals and noise, improving elemental analysis.

Keywords:
EchelleLaser-induced breakdown spectroscopyOptimal classifierSpectroscopyStatistical learning theory.

More Related Videos

Quantitative Analysis of Vacuum Induction Melting by Laser-induced Breakdown Spectroscopy
03:49

Quantitative Analysis of Vacuum Induction Melting by Laser-induced Breakdown Spectroscopy

Published on: June 10, 2019

7.6K
Measurement and Analysis of Atomic Hydrogen and Diatomic Molecular AlO, C2, CN, and TiO Spectra Following Laser-induced Optical Breakdown
09:40

Measurement and Analysis of Atomic Hydrogen and Diatomic Molecular AlO, C2, CN, and TiO Spectra Following Laser-induced Optical Breakdown

Published on: February 14, 2014

14.6K

Related Experiment Videos

Last Updated: Dec 30, 2025

Dependence of Laser-induced Breakdown Spectroscopy Results on Pulse Energies and Timing Parameters Using Soil Simulants
08:53

Dependence of Laser-induced Breakdown Spectroscopy Results on Pulse Energies and Timing Parameters Using Soil Simulants

Published on: September 23, 2013

11.6K
Quantitative Analysis of Vacuum Induction Melting by Laser-induced Breakdown Spectroscopy
03:49

Quantitative Analysis of Vacuum Induction Melting by Laser-induced Breakdown Spectroscopy

Published on: June 10, 2019

7.6K
Measurement and Analysis of Atomic Hydrogen and Diatomic Molecular AlO, C2, CN, and TiO Spectra Following Laser-induced Optical Breakdown
09:40

Measurement and Analysis of Atomic Hydrogen and Diatomic Molecular AlO, C2, CN, and TiO Spectra Following Laser-induced Optical Breakdown

Published on: February 14, 2014

14.6K

Area of Science:

  • Analytical Chemistry
  • Spectroscopy
  • Data Science

Background:

  • Laser-Induced Breakdown Spectroscopy (LIBS) is a powerful multi-elemental, real-time analytical technique applicable to diverse sample matrices.
  • LIBS generates extensive data requiring robust classification and discrimination methods for accurate elemental analysis.
  • Effective spectral analysis is crucial for both qualitative and quantitative elemental determination.

Purpose of the Study:

  • To design and model an optimal classifier for Laser-Induced Breakdown Spectroscopy (LIBS) data.
  • To apply the statistical theory of detection for LIBS data classification and discrimination.
  • To identify the most effective classification approach for LIBS spectral data.

Main Methods:

  • Analysis of noise sources inherent in the LIBS process.
  • Development of a linear model for an echelle spectrograph system.
  • Statistical validation of the model using NIST's dark signal and LIBS spectral databases.

Main Results:

  • The developed model successfully characterized LIBS data and noise.
  • Statistical analysis validated the model's assumptions.
  • Results indicate that a quadratic classifier offers optimal performance under Gaussian signal and noise conditions.

Conclusions:

  • The designed model provides a framework for optimal LIBS data classification.
  • A quadratic classifier is recommended for LIBS analysis when signal and noise distributions are Gaussian.
  • This research enhances the accuracy and efficiency of elemental analysis using LIBS technology.