Monitoring of Plankton Spatial and Temporal Characteristics With the Use of a Submersible Digital Holographic Camera

This study shows that the use of a submersible digital holographic camera as part of a multifunctional hardware and software complex allows carrying out in situ measurements of plankton, automating the process of obtaining data on plankton, as well as classifying plankton species up to an order with...

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Main Authors: Victor Dyomin, Alexandra Davydova, Sergey Morgalev, Nikolay Kirillov, Alexey Olshukov, Igor Polovtsev, Sergey Davydov
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-08-01
Series:Frontiers in Marine Science
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fmars.2020.00653/full
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spelling doaj-7a56c38489fd4bee9a76eb94c86c1f972020-11-25T03:57:35ZengFrontiers Media S.A.Frontiers in Marine Science2296-77452020-08-01710.3389/fmars.2020.00653528210Monitoring of Plankton Spatial and Temporal Characteristics With the Use of a Submersible Digital Holographic CameraVictor Dyomin0Alexandra Davydova1Alexandra Davydova2Sergey Morgalev3Nikolay Kirillov4Alexey Olshukov5Alexey Olshukov6Igor Polovtsev7Sergey Davydov8Laboratory of Radiophysical and Optical Methods of Environmental Studies, National Research Tomsk State University, Tomsk, RussiaLaboratory of Radiophysical and Optical Methods of Environmental Studies, National Research Tomsk State University, Tomsk, RussiaEnvironmental Remote Sensing Laboratory, V.E. Zuev Institute of Atmospheric Optics of the Siberian Branch of the Russian Academy of Sciences, Tomsk, RussiaLaboratory of Radiophysical and Optical Methods of Environmental Studies, National Research Tomsk State University, Tomsk, RussiaLaboratory of Radiophysical and Optical Methods of Environmental Studies, National Research Tomsk State University, Tomsk, RussiaLaboratory of Radiophysical and Optical Methods of Environmental Studies, National Research Tomsk State University, Tomsk, RussiaEnvironmental Remote Sensing Laboratory, V.E. Zuev Institute of Atmospheric Optics of the Siberian Branch of the Russian Academy of Sciences, Tomsk, RussiaLaboratory of Radiophysical and Optical Methods of Environmental Studies, National Research Tomsk State University, Tomsk, RussiaLaboratory of Radiophysical and Optical Methods of Environmental Studies, National Research Tomsk State University, Tomsk, RussiaThis study shows that the use of a submersible digital holographic camera as part of a multifunctional hardware and software complex allows carrying out in situ measurements of plankton, automating the process of obtaining data on plankton, as well as classifying plankton species up to an order within the specified taxonomic groups. Such automation ensures monitoring expeditionary or stationary research of species diversity and spatial and temporal organization of zooplankton in conjunction with the hydrophysical parameters of the medium. This paper presents the full-scale results of vertical profiles and daily measurements of plankton made with the use of the submersible digital holographic camera as well as the classification of plankton in laboratory and field conditions in the automatic mode. It is shown that, within the accomplished version, the classification algorithm using the morphological parameter makes it possible to solve the problem quickly (the time required to obtain the result is less than 1 s and depends on the number of plankton particles and the frame size of a restored image); however, the classification accuracy by orders varies within 50–60%.https://www.frontiersin.org/article/10.3389/fmars.2020.00653/fullplanktonbiodiversitydigital holographyspatial characteristicstemporal characteristicssubmersible camera
collection DOAJ
language English
format Article
sources DOAJ
author Victor Dyomin
Alexandra Davydova
Alexandra Davydova
Sergey Morgalev
Nikolay Kirillov
Alexey Olshukov
Alexey Olshukov
Igor Polovtsev
Sergey Davydov
spellingShingle Victor Dyomin
Alexandra Davydova
Alexandra Davydova
Sergey Morgalev
Nikolay Kirillov
Alexey Olshukov
Alexey Olshukov
Igor Polovtsev
Sergey Davydov
Monitoring of Plankton Spatial and Temporal Characteristics With the Use of a Submersible Digital Holographic Camera
Frontiers in Marine Science
plankton
biodiversity
digital holography
spatial characteristics
temporal characteristics
submersible camera
author_facet Victor Dyomin
Alexandra Davydova
Alexandra Davydova
Sergey Morgalev
Nikolay Kirillov
Alexey Olshukov
Alexey Olshukov
Igor Polovtsev
Sergey Davydov
author_sort Victor Dyomin
title Monitoring of Plankton Spatial and Temporal Characteristics With the Use of a Submersible Digital Holographic Camera
title_short Monitoring of Plankton Spatial and Temporal Characteristics With the Use of a Submersible Digital Holographic Camera
title_full Monitoring of Plankton Spatial and Temporal Characteristics With the Use of a Submersible Digital Holographic Camera
title_fullStr Monitoring of Plankton Spatial and Temporal Characteristics With the Use of a Submersible Digital Holographic Camera
title_full_unstemmed Monitoring of Plankton Spatial and Temporal Characteristics With the Use of a Submersible Digital Holographic Camera
title_sort monitoring of plankton spatial and temporal characteristics with the use of a submersible digital holographic camera
publisher Frontiers Media S.A.
series Frontiers in Marine Science
issn 2296-7745
publishDate 2020-08-01
description This study shows that the use of a submersible digital holographic camera as part of a multifunctional hardware and software complex allows carrying out in situ measurements of plankton, automating the process of obtaining data on plankton, as well as classifying plankton species up to an order within the specified taxonomic groups. Such automation ensures monitoring expeditionary or stationary research of species diversity and spatial and temporal organization of zooplankton in conjunction with the hydrophysical parameters of the medium. This paper presents the full-scale results of vertical profiles and daily measurements of plankton made with the use of the submersible digital holographic camera as well as the classification of plankton in laboratory and field conditions in the automatic mode. It is shown that, within the accomplished version, the classification algorithm using the morphological parameter makes it possible to solve the problem quickly (the time required to obtain the result is less than 1 s and depends on the number of plankton particles and the frame size of a restored image); however, the classification accuracy by orders varies within 50–60%.
topic plankton
biodiversity
digital holography
spatial characteristics
temporal characteristics
submersible camera
url https://www.frontiersin.org/article/10.3389/fmars.2020.00653/full
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