Image-based red blood cell counter for multiple species of wild and domestic animals

Detalhes bibliográficos
Autor(a) principal: Mauricio,C.R.M.
Data de Publicação: 2017
Outros Autores: Schneider,F.K., Takahira,R.K., Santos,L.C., Gamba,H.R.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Arquivo brasileiro de medicina veterinária e zootecnia (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-09352017000100075
Resumo: ABSTRACT RBC count plays an important role in animal diagnosis. Despite the many technologies available in different automated hematology analyzers, when it comes to the blood of wild animals it is still difficult to find an easy and affordable solution for multiple species. This study aims to evaluate the proposed automatic red blood cell counter. Blood samples (1 ocelot - Leopardus pardalis, 1 monkey - Cebus apella, 1 coati - Nasua nasua, 62 dogs - Canis familiaris, and 5 horses - Equus caballus) were analyzed using three methods: 1-manual count, 2-automatic count by image, and 3-semi-automatic count by image; blood from dogs and horses were also analyzed by a fourth method: 4-automatic count by impedance. The counts in methods 2 and 3 were produced by the proposed red blood cell counter. Results were compared using Pearson's correlation and plots with different methods as the criterion standard. RBC counts in methods 1, 2, and 3 correlated very well with those in the method 4 (r ≥ 0.94). RBC counts produced by method 2 were highly correlated with method 3 (r = 0.998). The results indicate that the proposed method can be used as an automatic or semi-automatic counting method in clinics that are currently using the manual method for RBC assessment.
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spelling Image-based red blood cell counter for multiple species of wild and domestic animalsautomatic Image-based RBC countingCebus apellaLeopardus pardalisNasua nasuaWild AnimalsABSTRACT RBC count plays an important role in animal diagnosis. Despite the many technologies available in different automated hematology analyzers, when it comes to the blood of wild animals it is still difficult to find an easy and affordable solution for multiple species. This study aims to evaluate the proposed automatic red blood cell counter. Blood samples (1 ocelot - Leopardus pardalis, 1 monkey - Cebus apella, 1 coati - Nasua nasua, 62 dogs - Canis familiaris, and 5 horses - Equus caballus) were analyzed using three methods: 1-manual count, 2-automatic count by image, and 3-semi-automatic count by image; blood from dogs and horses were also analyzed by a fourth method: 4-automatic count by impedance. The counts in methods 2 and 3 were produced by the proposed red blood cell counter. Results were compared using Pearson's correlation and plots with different methods as the criterion standard. RBC counts in methods 1, 2, and 3 correlated very well with those in the method 4 (r ≥ 0.94). RBC counts produced by method 2 were highly correlated with method 3 (r = 0.998). The results indicate that the proposed method can be used as an automatic or semi-automatic counting method in clinics that are currently using the manual method for RBC assessment.Universidade Federal de Minas Gerais, Escola de Veterinária2017-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-09352017000100075Arquivo Brasileiro de Medicina Veterinária e Zootecnia v.69 n.1 2017reponame:Arquivo brasileiro de medicina veterinária e zootecnia (Online)instname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMG10.1590/1678-4162-8544info:eu-repo/semantics/openAccessMauricio,C.R.M.Schneider,F.K.Takahira,R.K.Santos,L.C.Gamba,H.R.eng2017-03-20T00:00:00Zoai:scielo:S0102-09352017000100075Revistahttps://www.scielo.br/j/abmvz/PUBhttps://old.scielo.br/oai/scielo-oai.phpjournal@vet.ufmg.br||abmvz.artigo@abmvz.org.br1678-41620102-0935opendoar:2017-03-20T00:00Arquivo brasileiro de medicina veterinária e zootecnia (Online) - Universidade Federal de Minas Gerais (UFMG)false
dc.title.none.fl_str_mv Image-based red blood cell counter for multiple species of wild and domestic animals
title Image-based red blood cell counter for multiple species of wild and domestic animals
spellingShingle Image-based red blood cell counter for multiple species of wild and domestic animals
Mauricio,C.R.M.
automatic Image-based RBC counting
Cebus apella
Leopardus pardalis
Nasua nasua
Wild Animals
title_short Image-based red blood cell counter for multiple species of wild and domestic animals
title_full Image-based red blood cell counter for multiple species of wild and domestic animals
title_fullStr Image-based red blood cell counter for multiple species of wild and domestic animals
title_full_unstemmed Image-based red blood cell counter for multiple species of wild and domestic animals
title_sort Image-based red blood cell counter for multiple species of wild and domestic animals
author Mauricio,C.R.M.
author_facet Mauricio,C.R.M.
Schneider,F.K.
Takahira,R.K.
Santos,L.C.
Gamba,H.R.
author_role author
author2 Schneider,F.K.
Takahira,R.K.
Santos,L.C.
Gamba,H.R.
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Mauricio,C.R.M.
Schneider,F.K.
Takahira,R.K.
Santos,L.C.
Gamba,H.R.
dc.subject.por.fl_str_mv automatic Image-based RBC counting
Cebus apella
Leopardus pardalis
Nasua nasua
Wild Animals
topic automatic Image-based RBC counting
Cebus apella
Leopardus pardalis
Nasua nasua
Wild Animals
description ABSTRACT RBC count plays an important role in animal diagnosis. Despite the many technologies available in different automated hematology analyzers, when it comes to the blood of wild animals it is still difficult to find an easy and affordable solution for multiple species. This study aims to evaluate the proposed automatic red blood cell counter. Blood samples (1 ocelot - Leopardus pardalis, 1 monkey - Cebus apella, 1 coati - Nasua nasua, 62 dogs - Canis familiaris, and 5 horses - Equus caballus) were analyzed using three methods: 1-manual count, 2-automatic count by image, and 3-semi-automatic count by image; blood from dogs and horses were also analyzed by a fourth method: 4-automatic count by impedance. The counts in methods 2 and 3 were produced by the proposed red blood cell counter. Results were compared using Pearson's correlation and plots with different methods as the criterion standard. RBC counts in methods 1, 2, and 3 correlated very well with those in the method 4 (r ≥ 0.94). RBC counts produced by method 2 were highly correlated with method 3 (r = 0.998). The results indicate that the proposed method can be used as an automatic or semi-automatic counting method in clinics that are currently using the manual method for RBC assessment.
publishDate 2017
dc.date.none.fl_str_mv 2017-02-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-09352017000100075
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-09352017000100075
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1678-4162-8544
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Universidade Federal de Minas Gerais, Escola de Veterinária
publisher.none.fl_str_mv Universidade Federal de Minas Gerais, Escola de Veterinária
dc.source.none.fl_str_mv Arquivo Brasileiro de Medicina Veterinária e Zootecnia v.69 n.1 2017
reponame:Arquivo brasileiro de medicina veterinária e zootecnia (Online)
instname:Universidade Federal de Minas Gerais (UFMG)
instacron:UFMG
instname_str Universidade Federal de Minas Gerais (UFMG)
instacron_str UFMG
institution UFMG
reponame_str Arquivo brasileiro de medicina veterinária e zootecnia (Online)
collection Arquivo brasileiro de medicina veterinária e zootecnia (Online)
repository.name.fl_str_mv Arquivo brasileiro de medicina veterinária e zootecnia (Online) - Universidade Federal de Minas Gerais (UFMG)
repository.mail.fl_str_mv journal@vet.ufmg.br||abmvz.artigo@abmvz.org.br
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