Flowcam used as a tool to identify and classify zooplankton
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da Produção Científica da Marinha do Brasil (RI-MB) |
Texto Completo: | http://www.repositorio.mar.mil.br/handle/ripcmb/844548 |
Resumo: | Advances in technology enabled the development of semi-automatic imaging systems. These systems have algorithms that identify and classify marine organisms in a short time as well as estimate abundance, biomass and measure the size of marine organisms. One of these widely used systems is the FlowCAM (Flow Cytometer and Microscopy), which combines the microscope and flow cytometer functions. The present study was based on quantitative samplings of a zooplankton community. Its aim was to identify and classify the zooplankton community using a FlowCAM semi-automatic imaging system. For the sampling were held weekly collections on December 2010 at a fixed station next to the Cabo Frio Island - Arraial do Cabo, RJ (22°59'86"S, 42°00'28" W). The zooplankton samples were collected by horizontal subsurface trawls with a 100 μm mesh and treated in 4% formaldehyde solution neutralized with sodium tetraborate. At the laboratory, a total of 45 zooplankton samples were subsampled and processed in a Benchtop B3 FlowCAM model and later used in semi-automatic particle classification using the VSP software. Semi-automatic classification filters were created to allow the identification and classification of 13 zooplankton groups of a total of 135,000 images. Was observed, as a result of the image analysis, that Copepoda was the dominant group, ranging from 219.7 to 10980.9 org.m-3; followed by Cladocera, Cirripedia, Radiolaria, Appendicularia, and Pteropods, which appeared in more than 70% of the samples. No occurrences of the Ostracoda and Siphonophora groups were found, despite the classification filter. The results suggest that FlowCAM may be used in the identification and classification of zooplankton groups. Nevertheless, is necessary to improve the algorithms to enable classification at the lowest possible taxonomic level. |
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Costa, DeboraCâmara, AlineFigueredo, BrunaTeixeira, JanaínaMatos, ThiagoFernandes, LohengrinBiofouling, Benthic Ecology and Marine Biotechnology Meeting, 013., 2019, Arraial do Cabo (RJ)2020-03-28T18:31:21Z2020-03-28T18:31:21Z2019http://www.repositorio.mar.mil.br/handle/ripcmb/844548Advances in technology enabled the development of semi-automatic imaging systems. These systems have algorithms that identify and classify marine organisms in a short time as well as estimate abundance, biomass and measure the size of marine organisms. One of these widely used systems is the FlowCAM (Flow Cytometer and Microscopy), which combines the microscope and flow cytometer functions. The present study was based on quantitative samplings of a zooplankton community. Its aim was to identify and classify the zooplankton community using a FlowCAM semi-automatic imaging system. For the sampling were held weekly collections on December 2010 at a fixed station next to the Cabo Frio Island - Arraial do Cabo, RJ (22°59'86"S, 42°00'28" W). The zooplankton samples were collected by horizontal subsurface trawls with a 100 μm mesh and treated in 4% formaldehyde solution neutralized with sodium tetraborate. At the laboratory, a total of 45 zooplankton samples were subsampled and processed in a Benchtop B3 FlowCAM model and later used in semi-automatic particle classification using the VSP software. Semi-automatic classification filters were created to allow the identification and classification of 13 zooplankton groups of a total of 135,000 images. Was observed, as a result of the image analysis, that Copepoda was the dominant group, ranging from 219.7 to 10980.9 org.m-3; followed by Cladocera, Cirripedia, Radiolaria, Appendicularia, and Pteropods, which appeared in more than 70% of the samples. No occurrences of the Ostracoda and Siphonophora groups were found, despite the classification filter. The results suggest that FlowCAM may be used in the identification and classification of zooplankton groups. Nevertheless, is necessary to improve the algorithms to enable classification at the lowest possible taxonomic level.engInstituto de Estudos do Mar Almirante Paulo Moreira (IEAPM)Ciência, Tecnologia e InovaçãoPlanctoFlowcam used as a tool to identify and classify zooplanktoninfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleBrasilinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da Produção Científica da Marinha do Brasil (RI-MB)instname:Marinha do Brasil (MB)instacron:MBTEXTFernandes, Lohengrin et al_BIOINC2019_Flowcam used as a tool to identify....pdf.txtFernandes, Lohengrin et al_BIOINC2019_Flowcam used as a tool to identify....pdf.txtExtracted texttext/plain2https://www.repositorio.mar.mil.br/bitstream/ripcmb/844548/2/Fernandes%2c%20Lohengrin%20et%20al_BIOINC2019_Flowcam%20used%20as%20a%20tool%20to%20identify....pdf.txtd784fa8b6d98d27699781bd9a7cf19f0MD52THUMBNAILFernandes, Lohengrin et al_BIOINC2019_Flowcam used as a tool to identify....pdf.jpgFernandes, Lohengrin et al_BIOINC2019_Flowcam used as a tool to identify....pdf.jpgGenerated Thumbnailimage/jpeg1707https://www.repositorio.mar.mil.br/bitstream/ripcmb/844548/3/Fernandes%2c%20Lohengrin%20et%20al_BIOINC2019_Flowcam%20used%20as%20a%20tool%20to%20identify....pdf.jpgebcce88725d6b3b34c07dd109e0667d2MD53ORIGINALFernandes, Lohengrin et al_BIOINC2019_Flowcam used as a tool to identify....pdfFernandes, Lohengrin et al_BIOINC2019_Flowcam used as a tool to identify....pdfapplication/pdf585313https://www.repositorio.mar.mil.br/bitstream/ripcmb/844548/1/Fernandes%2c%20Lohengrin%20et%20al_BIOINC2019_Flowcam%20used%20as%20a%20tool%20to%20identify....pdfa0fb554608d225c0f457cef1ec72dbf7MD51ripcmb/8445482022-09-22 15:10:00.639oai:www.repositorio.mar.mil.br:ripcmb/844548Repositório InstitucionalPUBhttps://www.repositorio.mar.mil.br/oai/requestdphdm.repositorio@marinha.mil.bropendoar:2022-09-22T18:10Repositório Institucional da Produção Científica da Marinha do Brasil (RI-MB) - Marinha do Brasil (MB)false |
dc.title.pt_BR.fl_str_mv |
Flowcam used as a tool to identify and classify zooplankton |
title |
Flowcam used as a tool to identify and classify zooplankton |
spellingShingle |
Flowcam used as a tool to identify and classify zooplankton Costa, Debora Plancto Ciência, Tecnologia e Inovação |
title_short |
Flowcam used as a tool to identify and classify zooplankton |
title_full |
Flowcam used as a tool to identify and classify zooplankton |
title_fullStr |
Flowcam used as a tool to identify and classify zooplankton |
title_full_unstemmed |
Flowcam used as a tool to identify and classify zooplankton |
title_sort |
Flowcam used as a tool to identify and classify zooplankton |
author |
Costa, Debora |
author_facet |
Costa, Debora Câmara, Aline Figueredo, Bruna Teixeira, Janaína Matos, Thiago Fernandes, Lohengrin Biofouling, Benthic Ecology and Marine Biotechnology Meeting, 013., 2019, Arraial do Cabo (RJ) |
author_role |
author |
author2 |
Câmara, Aline Figueredo, Bruna Teixeira, Janaína Matos, Thiago Fernandes, Lohengrin Biofouling, Benthic Ecology and Marine Biotechnology Meeting, 013., 2019, Arraial do Cabo (RJ) |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Costa, Debora Câmara, Aline Figueredo, Bruna Teixeira, Janaína Matos, Thiago Fernandes, Lohengrin Biofouling, Benthic Ecology and Marine Biotechnology Meeting, 013., 2019, Arraial do Cabo (RJ) |
dc.subject.por.fl_str_mv |
Plancto |
topic |
Plancto Ciência, Tecnologia e Inovação |
dc.subject.dgpm.none.fl_str_mv |
Ciência, Tecnologia e Inovação |
description |
Advances in technology enabled the development of semi-automatic imaging systems. These systems have algorithms that identify and classify marine organisms in a short time as well as estimate abundance, biomass and measure the size of marine organisms. One of these widely used systems is the FlowCAM (Flow Cytometer and Microscopy), which combines the microscope and flow cytometer functions. The present study was based on quantitative samplings of a zooplankton community. Its aim was to identify and classify the zooplankton community using a FlowCAM semi-automatic imaging system. For the sampling were held weekly collections on December 2010 at a fixed station next to the Cabo Frio Island - Arraial do Cabo, RJ (22°59'86"S, 42°00'28" W). The zooplankton samples were collected by horizontal subsurface trawls with a 100 μm mesh and treated in 4% formaldehyde solution neutralized with sodium tetraborate. At the laboratory, a total of 45 zooplankton samples were subsampled and processed in a Benchtop B3 FlowCAM model and later used in semi-automatic particle classification using the VSP software. Semi-automatic classification filters were created to allow the identification and classification of 13 zooplankton groups of a total of 135,000 images. Was observed, as a result of the image analysis, that Copepoda was the dominant group, ranging from 219.7 to 10980.9 org.m-3; followed by Cladocera, Cirripedia, Radiolaria, Appendicularia, and Pteropods, which appeared in more than 70% of the samples. No occurrences of the Ostracoda and Siphonophora groups were found, despite the classification filter. The results suggest that FlowCAM may be used in the identification and classification of zooplankton groups. Nevertheless, is necessary to improve the algorithms to enable classification at the lowest possible taxonomic level. |
publishDate |
2019 |
dc.date.issued.fl_str_mv |
2019 |
dc.date.accessioned.fl_str_mv |
2020-03-28T18:31:21Z |
dc.date.available.fl_str_mv |
2020-03-28T18:31:21Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://www.repositorio.mar.mil.br/handle/ripcmb/844548 |
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http://www.repositorio.mar.mil.br/handle/ripcmb/844548 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
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openAccess |
dc.publisher.none.fl_str_mv |
Instituto de Estudos do Mar Almirante Paulo Moreira (IEAPM) |
publisher.none.fl_str_mv |
Instituto de Estudos do Mar Almirante Paulo Moreira (IEAPM) |
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reponame:Repositório Institucional da Produção Científica da Marinha do Brasil (RI-MB) instname:Marinha do Brasil (MB) instacron:MB |
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Marinha do Brasil (MB) |
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Repositório Institucional da Produção Científica da Marinha do Brasil (RI-MB) |
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