Towards Automated Classification of Zooplankton Using Combination of Laser Spectral Techniques and Advanced Chemometrics.

Nikolai I Sushkov, Gábor Galbács, Patrick Janovszky, Nikolay V Lobus, Timur A Labutin

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Nikolai I SushkovDepartment of Chemistry, Lomonosov Moscow State University, 119234 Moscow, Russia.

Gábor GalbácsDepartment of Inorganic and Analytical Chemistry, Faculty of Science and Informatics, University of Szeged, 6720 Szeged, Hungary.ORCID 0000-0002-1799-5329

Patrick JanovszkyDepartment of Inorganic and Analytical Chemistry, Faculty of Science and Informatics, University of Szeged, 6720 Szeged, Hungary.

Nikolay V LobusTimiryazev Institute of Plant Physiology, Russian Academy of Sciences, 127276 Moscow, Russia.ORCID 0000-0002-2517-4061

Timur A LabutinDepartment of Chemistry, Lomonosov Moscow State University, 119234 Moscow, Russia.ORCID 0000-0003-0168-6561

Funding

Belarusian Republican Foundation for Fundamental Research Б21РМ-085National Research, Development and Innovation Office K_129063Russian Foundation for Basic Research 20-53-04036

6 · The paper itself

Abstract

Zooplankton identification has been the subject of many studies. They are mainly based on the analysis of photographs (computer vision). However, spectroscopic techniques can be a good alternative due to the valuable additional information that they provide. We tested the performance of several chemometric techniques (principal component analysis (PCA), non-negative matrix factorisation (NMF), and common dimensions and specific weights analysis (CCSWA of ComDim)) for the unsupervised classification of zooplankton species based on their spectra. The spectra were obtained using laser-induced breakdown spectroscopy (LIBS) and Raman spectroscopy. It was convenient to assess the discriminative power in terms of silhouette metrics (

Indexed as

ChemometricsZooplanktonAnimalsLasersPrincipal Component AnalysisSpectrum Analysis, RamanchemometricsclassificationComDimLIBSNMFPCARamanzooplankton

Identifiers

PMID36365928

DOI10.3390/s22218234

PMCPMC9657760

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