Semi-automated recognition of protozoa by image analysis

Bibliographic Details
Main Author: Amaral, A. L.
Publication Date: 1999
Other Authors: Baptiste, C., Pons, M. N., Nicolau, Ana, Lima, Nelson, Ferreira, Eugénio C., Mota, M., Vivier, H.
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: https://hdl.handle.net/1822/135
Summary: A programme was created to semi-automatically analyse protozoal digitised images. Principal Component Analysis technique was used for species identification. After data collection and mathematical treatment, a threedimensional representation was generated and several protozoa (Opercularia, Colpidium, Tetrahymena, Prorodon, Glaucoma and Trachelophyllum) species could be positively identified.
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spelling Semi-automated recognition of protozoa by image analysisProtozoaImage analysisWastewater treatmentPrincipal component analysisScience & TechnologyA programme was created to semi-automatically analyse protozoal digitised images. Principal Component Analysis technique was used for species identification. After data collection and mathematical treatment, a threedimensional representation was generated and several protozoa (Opercularia, Colpidium, Tetrahymena, Prorodon, Glaucoma and Trachelophyllum) species could be positively identified.Fundação para a Ciência e Tecnologia - Praxis XXI BD/5080/95, Praxis XXI 2/2.1/BIO/1118/95.KluwerUniversidade do MinhoAmaral, A. L.Baptiste, C.Pons, M. N.Nicolau, AnaLima, NelsonFerreira, Eugénio C.Mota, M.Vivier, H.19991999-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/135eng“Biotechnology Techniques”. 13:2 (1999) 111–118.0951-208X10.1023/A:1008850701796info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-11T05:41:38Zoai:repositorium.sdum.uminho.pt:1822/135Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T15:26:45.811341Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Semi-automated recognition of protozoa by image analysis
title Semi-automated recognition of protozoa by image analysis
spellingShingle Semi-automated recognition of protozoa by image analysis
Amaral, A. L.
Protozoa
Image analysis
Wastewater treatment
Principal component analysis
Science & Technology
title_short Semi-automated recognition of protozoa by image analysis
title_full Semi-automated recognition of protozoa by image analysis
title_fullStr Semi-automated recognition of protozoa by image analysis
title_full_unstemmed Semi-automated recognition of protozoa by image analysis
title_sort Semi-automated recognition of protozoa by image analysis
author Amaral, A. L.
author_facet Amaral, A. L.
Baptiste, C.
Pons, M. N.
Nicolau, Ana
Lima, Nelson
Ferreira, Eugénio C.
Mota, M.
Vivier, H.
author_role author
author2 Baptiste, C.
Pons, M. N.
Nicolau, Ana
Lima, Nelson
Ferreira, Eugénio C.
Mota, M.
Vivier, H.
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Amaral, A. L.
Baptiste, C.
Pons, M. N.
Nicolau, Ana
Lima, Nelson
Ferreira, Eugénio C.
Mota, M.
Vivier, H.
dc.subject.por.fl_str_mv Protozoa
Image analysis
Wastewater treatment
Principal component analysis
Science & Technology
topic Protozoa
Image analysis
Wastewater treatment
Principal component analysis
Science & Technology
description A programme was created to semi-automatically analyse protozoal digitised images. Principal Component Analysis technique was used for species identification. After data collection and mathematical treatment, a threedimensional representation was generated and several protozoa (Opercularia, Colpidium, Tetrahymena, Prorodon, Glaucoma and Trachelophyllum) species could be positively identified.
publishDate 1999
dc.date.none.fl_str_mv 1999
1999-01-01T00:00:00Z
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 https://hdl.handle.net/1822/135
url https://hdl.handle.net/1822/135
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv “Biotechnology Techniques”. 13:2 (1999) 111–118.
0951-208X
10.1023/A:1008850701796
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Kluwer
publisher.none.fl_str_mv Kluwer
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833595320790941696

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