Publication result detail

On the processing of big laser spectroscopy data; the issue of dimensionality reduction

POŘÍZKA, P.; MODLITBOVÁ, P.; KÉPEŠ, E.; VRÁBEL, J.; PROCHAZKA, D.; KAISER, J.

Original Title

On the processing of big laser spectroscopy data; the issue of dimensionality reduction

English Title

On the processing of big laser spectroscopy data; the issue of dimensionality reduction

Type

Conference proceedings

Original Abstract

The state-of-the-art laser-ablation based spectroscopic instruments provide data sets increasing in size, number of objects (spectra) and variables (wavelengths). In this work, we focus namely on the Laser-Induced Breakdown Spectroscopy (LIBS) technique. However, the presented algorithms are applicable also for the processing of data obtained using other optical emission spectroscopic techniques and even mass spec techniques. Typically, the data sets are overloaded with information, analytically relevant as well as redundant, e.g. originating from noise and background.

English abstract

The state-of-the-art laser-ablation based spectroscopic instruments provide data sets increasing in size, number of objects (spectra) and variables (wavelengths). In this work, we focus namely on the Laser-Induced Breakdown Spectroscopy (LIBS) technique. However, the presented algorithms are applicable also for the processing of data obtained using other optical emission spectroscopic techniques and even mass spec techniques. Typically, the data sets are overloaded with information, analytically relevant as well as redundant, e.g. originating from noise and background.

Keywords

LIBS; biologic samples; data processing; principal component analysis; self-organizing maps

Key words in English

LIBS; biologic samples; data processing; principal component analysis; self-organizing maps

Authors

POŘÍZKA, P.; MODLITBOVÁ, P.; KÉPEŠ, E.; VRÁBEL, J.; PROCHAZKA, D.; KAISER, J.

RIV year

2020

Released

09.06.2019

Pages from

126

Pages to

126

Pages count

388

BibTex

@proceedings{BUT159116,
  editor="Pavel {Pořízka} and Pavlína {Modlitbová} and Erik {Képeš} and Jakub {Vrábel} and David {Prochazka} and Jozef {Kaiser}",
  title="On the processing of big laser spectroscopy data; the issue of dimensionality reduction",
  year="2019",
  pages="126--126"
}