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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/69292
Ver los metadatos del registro completo
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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 Técnicas2025-09-29T09:48:26Zoai: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:34982025-09-29 09:48:27.123CONICET 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 |
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CONICET Digital (CONICET) |
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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 |
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1844613505119944704 |
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13.070432 |