Digital holographic microscopy for microalgae biovolume assessment

Autores
Monaldi, Andrea Carolina; Romero, Gladis Graciela; Alanis, Elvio; Cabrera de la Rosa, Carlos Matias
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The relative amount of biomass in a body of water is one of the various indicators widely used in water quality evaluation. This implies complex tasks such as identification and characterization of microorganisms and measurement of their biovolume. Particularly, the latter is estimated by assuming simple geometrical shapes for the microorganism and by calculating its dimensions from images taken with a conventional microscope. In order to have a more precise and automatic method for biovolume evaluation, a hybrid methodology based on digital holographic microscopy and image processing is proposed. The whole volume of a specimen under study is obtained combining the phase contrast image of an off-axis hologram with the thickness-profile data of the specimen extracted from the cell silhouette. This technique has been used for determining the biovolume of Ceratium Hirundinella cells in water samples. The methodology proposed also shows that it is possible to estimate accurately an effective refractive index of the microorganism. Experimental results have shown that this technique is not only an efficient and fast alternative, but also suitable for automatizing the entire process.
Fil: Monaldi, Andrea Carolina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones en Energía no Convencional. Universidad Nacional de Salta. Facultad de Ciencias Exactas. Departamento de Física. Instituto de Investigaciones en Energía no Convencional; Argentina. Universidad Nacional de Salta. Facultad de Ciencas Exactas. Departamento de Física. Grupo de Óptica Láser; Argentina
Fil: Romero, Gladis Graciela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones en Energía no Convencional. Universidad Nacional de Salta. Facultad de Ciencias Exactas. Departamento de Física. Instituto de Investigaciones en Energía no Convencional; Argentina. Universidad Nacional de Salta. Facultad de Ciencas Exactas. Departamento de Física. Grupo de Óptica Láser; Argentina
Fil: Alanis, Elvio. Universidad Nacional de Salta. Facultad de Ciencas Exactas. Departamento de Física. Grupo de Óptica Láser; Argentina
Fil: Cabrera de la Rosa, Carlos Matias. Universidad Nacional de Salta. Facultad de Ciencas Exactas. Departamento de Física. Grupo de Óptica Láser; Argentina
Materia
Biovolume
Ceratium
Digital Holographic Microscopy
Hirundinella
Image Processing
Microalgae
Phytoplankton Refractive Index
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/69292
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/69292
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Digital holographic microscopy for microalgae biovolume assessmentMonaldi, Andrea CarolinaRomero, Gladis GracielaAlanis, ElvioCabrera de la Rosa, Carlos MatiasBiovolumeCeratiumDigital Holographic MicroscopyHirundinellaImage ProcessingMicroalgaePhytoplankton Refractive Indexhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1https://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1The relative amount of biomass in a body of water is one of the various indicators widely used in water quality evaluation. This implies complex tasks such as identification and characterization of microorganisms and measurement of their biovolume. Particularly, the latter is estimated by assuming simple geometrical shapes for the microorganism and by calculating its dimensions from images taken with a conventional microscope. In order to have a more precise and automatic method for biovolume evaluation, a hybrid methodology based on digital holographic microscopy and image processing is proposed. The whole volume of a specimen under study is obtained combining the phase contrast image of an off-axis hologram with the thickness-profile data of the specimen extracted from the cell silhouette. This technique has been used for determining the biovolume of Ceratium Hirundinella cells in water samples. The methodology proposed also shows that it is possible to estimate accurately an effective refractive index of the microorganism. Experimental results have shown that this technique is not only an efficient and fast alternative, but also suitable for automatizing the entire process.Fil: Monaldi, Andrea Carolina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones en Energía no Convencional. Universidad Nacional de Salta. Facultad de Ciencias Exactas. Departamento de Física. Instituto de Investigaciones en Energía no Convencional; Argentina. Universidad Nacional de Salta. Facultad de Ciencas Exactas. Departamento de Física. Grupo de Óptica Láser; ArgentinaFil: Romero, Gladis Graciela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones en Energía no Convencional. Universidad Nacional de Salta. Facultad de Ciencias Exactas. Departamento de Física. Instituto de Investigaciones en Energía no Convencional; Argentina. Universidad Nacional de Salta. Facultad de Ciencas Exactas. Departamento de Física. Grupo de Óptica Láser; ArgentinaFil: Alanis, Elvio. Universidad Nacional de Salta. Facultad de Ciencas Exactas. Departamento de Física. Grupo de Óptica Láser; ArgentinaFil: Cabrera de la Rosa, Carlos Matias. Universidad Nacional de Salta. Facultad de Ciencas Exactas. Departamento de Física. Grupo de Óptica Láser; ArgentinaElsevier Science2015-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/69292Monaldi, Andrea Carolina; Romero, Gladis Graciela; Alanis, Elvio; Cabrera de la Rosa, Carlos Matias; Digital holographic microscopy for microalgae biovolume assessment; Elsevier Science; Optics Communications; 336; 2-2015; 255-2610030-4018CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.optcom.2014.10.035info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0030401814009511info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:42:24Zoai:ri.conicet.gov.ar:11336/69292instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 14:42:24.77CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Digital holographic microscopy for microalgae biovolume assessment
title Digital holographic microscopy for microalgae biovolume assessment
spellingShingle Digital holographic microscopy for microalgae biovolume assessment
Monaldi, Andrea Carolina
Biovolume
Ceratium
Digital Holographic Microscopy
Hirundinella
Image Processing
Microalgae
Phytoplankton Refractive Index
title_short Digital holographic microscopy for microalgae biovolume assessment
title_full Digital holographic microscopy for microalgae biovolume assessment
title_fullStr Digital holographic microscopy for microalgae biovolume assessment
title_full_unstemmed Digital holographic microscopy for microalgae biovolume assessment
title_sort Digital holographic microscopy for microalgae biovolume assessment
dc.creator.none.fl_str_mv Monaldi, Andrea Carolina
Romero, Gladis Graciela
Alanis, Elvio
Cabrera de la Rosa, Carlos Matias
author Monaldi, Andrea Carolina
author_facet Monaldi, Andrea Carolina
Romero, Gladis Graciela
Alanis, Elvio
Cabrera de la Rosa, Carlos Matias
author_role author
author2 Romero, Gladis Graciela
Alanis, Elvio
Cabrera de la Rosa, Carlos Matias
author2_role author
author
author
dc.subject.none.fl_str_mv Biovolume
Ceratium
Digital Holographic Microscopy
Hirundinella
Image Processing
Microalgae
Phytoplankton Refractive Index
topic Biovolume
Ceratium
Digital Holographic Microscopy
Hirundinella
Image Processing
Microalgae
Phytoplankton Refractive Index
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The relative amount of biomass in a body of water is one of the various indicators widely used in water quality evaluation. This implies complex tasks such as identification and characterization of microorganisms and measurement of their biovolume. Particularly, the latter is estimated by assuming simple geometrical shapes for the microorganism and by calculating its dimensions from images taken with a conventional microscope. In order to have a more precise and automatic method for biovolume evaluation, a hybrid methodology based on digital holographic microscopy and image processing is proposed. The whole volume of a specimen under study is obtained combining the phase contrast image of an off-axis hologram with the thickness-profile data of the specimen extracted from the cell silhouette. This technique has been used for determining the biovolume of Ceratium Hirundinella cells in water samples. The methodology proposed also shows that it is possible to estimate accurately an effective refractive index of the microorganism. Experimental results have shown that this technique is not only an efficient and fast alternative, but also suitable for automatizing the entire process.
Fil: Monaldi, Andrea Carolina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones en Energía no Convencional. Universidad Nacional de Salta. Facultad de Ciencias Exactas. Departamento de Física. Instituto de Investigaciones en Energía no Convencional; Argentina. Universidad Nacional de Salta. Facultad de Ciencas Exactas. Departamento de Física. Grupo de Óptica Láser; Argentina
Fil: Romero, Gladis Graciela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones en Energía no Convencional. Universidad Nacional de Salta. Facultad de Ciencias Exactas. Departamento de Física. Instituto de Investigaciones en Energía no Convencional; Argentina. Universidad Nacional de Salta. Facultad de Ciencas Exactas. Departamento de Física. Grupo de Óptica Láser; Argentina
Fil: Alanis, Elvio. Universidad Nacional de Salta. Facultad de Ciencas Exactas. Departamento de Física. Grupo de Óptica Láser; Argentina
Fil: Cabrera de la Rosa, Carlos Matias. Universidad Nacional de Salta. Facultad de Ciencas Exactas. Departamento de Física. Grupo de Óptica Láser; Argentina
description The relative amount of biomass in a body of water is one of the various indicators widely used in water quality evaluation. This implies complex tasks such as identification and characterization of microorganisms and measurement of their biovolume. Particularly, the latter is estimated by assuming simple geometrical shapes for the microorganism and by calculating its dimensions from images taken with a conventional microscope. In order to have a more precise and automatic method for biovolume evaluation, a hybrid methodology based on digital holographic microscopy and image processing is proposed. The whole volume of a specimen under study is obtained combining the phase contrast image of an off-axis hologram with the thickness-profile data of the specimen extracted from the cell silhouette. This technique has been used for determining the biovolume of Ceratium Hirundinella cells in water samples. The methodology proposed also shows that it is possible to estimate accurately an effective refractive index of the microorganism. Experimental results have shown that this technique is not only an efficient and fast alternative, but also suitable for automatizing the entire process.
publishDate 2015
dc.date.none.fl_str_mv 2015-02
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/69292
Monaldi, Andrea Carolina; Romero, Gladis Graciela; Alanis, Elvio; Cabrera de la Rosa, Carlos Matias; Digital holographic microscopy for microalgae biovolume assessment; Elsevier Science; Optics Communications; 336; 2-2015; 255-261
0030-4018
CONICET Digital
CONICET
url http://hdl.handle.net/11336/69292
identifier_str_mv Monaldi, Andrea Carolina; Romero, Gladis Graciela; Alanis, Elvio; Cabrera de la Rosa, Carlos Matias; Digital holographic microscopy for microalgae biovolume assessment; Elsevier Science; Optics Communications; 336; 2-2015; 255-261
0030-4018
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.optcom.2014.10.035
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0030401814009511
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1846082925426114560
score 13.22299

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