Development of image analysis software for quantification of viable cells in microchips

Autores
Georg, Maximilian; Fernández Cabada, Tamara; Bourguignon, Natalia; Karp, Paola Julieta; Peñaherrera Pazmiño, Ana Belén; Helguera, Gustavo Fernando; Lerner, Betiana; Perez, Maximiliano Sebastian; Mertelsmann, Roland
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Over the past few years, image analysis has emerged as a powerful tool for analyzing various cell biology parameters in an unprecedented and highly specific manner. The amount of data that is generated requires automated methods for the processing and analysis of all the resulting information. The software available so far are suitable for the processing of fluorescence and phase contrast images, but often do not provide good results from transmission light microscopy images, due to the intrinsic variation of the acquisition of images technique itself (adjustment of brightness / contrast, for instance) and the variability between image acquisition introduced by operators / equipment. In this contribution, it has been presented an image processing software, Python based image analysis for cell growth (PIACG), that is able to calculate the total area of the well occupied by cells with fusiform and rounded morphology in response to different concentrations of fetal bovine serum in microfluidic chips, from microscopy images in transmission light, in a highly efficient way.
Fil: Georg, Maximilian. University of Freiburg; Alemania
Fil: Fernández Cabada, Tamara. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional; Argentina. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina
Fil: Bourguignon, Natalia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional; Argentina. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina
Fil: Karp, Paola Julieta. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental. Fundación de Instituto de Biología y Medicina Experimental. Instituto de Biología y Medicina Experimental; Argentina
Fil: Peñaherrera Pazmiño, Ana Belén. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional; Argentina. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina
Fil: Helguera, Gustavo Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental. Fundación de Instituto de Biología y Medicina Experimental. Instituto de Biología y Medicina Experimental; Argentina
Fil: Lerner, Betiana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional; Argentina. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina
Fil: Perez, Maximiliano Sebastian. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional; Argentina. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina
Fil: Mertelsmann, Roland. University of Freiburg; Alemania
Materia
IMAGE ANALYSIS SOFTWARE
MICROCHIP
CULTURE
QUANTIFICATION
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/84758
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/84758
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Development of image analysis software for quantification of viable cells in microchipsGeorg, MaximilianFernández Cabada, TamaraBourguignon, NataliaKarp, Paola JulietaPeñaherrera Pazmiño, Ana BelénHelguera, Gustavo FernandoLerner, BetianaPerez, Maximiliano SebastianMertelsmann, RolandIMAGE ANALYSIS SOFTWAREMICROCHIPCULTUREQUANTIFICATIONhttps://purl.org/becyt/ford/2.10https://purl.org/becyt/ford/2Over the past few years, image analysis has emerged as a powerful tool for analyzing various cell biology parameters in an unprecedented and highly specific manner. The amount of data that is generated requires automated methods for the processing and analysis of all the resulting information. The software available so far are suitable for the processing of fluorescence and phase contrast images, but often do not provide good results from transmission light microscopy images, due to the intrinsic variation of the acquisition of images technique itself (adjustment of brightness / contrast, for instance) and the variability between image acquisition introduced by operators / equipment. In this contribution, it has been presented an image processing software, Python based image analysis for cell growth (PIACG), that is able to calculate the total area of the well occupied by cells with fusiform and rounded morphology in response to different concentrations of fetal bovine serum in microfluidic chips, from microscopy images in transmission light, in a highly efficient way.Fil: Georg, Maximilian. University of Freiburg; AlemaniaFil: Fernández Cabada, Tamara. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional; Argentina. Universidad de Buenos Aires. Facultad de Ingeniería; ArgentinaFil: Bourguignon, Natalia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional; Argentina. Universidad de Buenos Aires. Facultad de Ingeniería; ArgentinaFil: Karp, Paola Julieta. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental. Fundación de Instituto de Biología y Medicina Experimental. Instituto de Biología y Medicina Experimental; ArgentinaFil: Peñaherrera Pazmiño, Ana Belén. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional; Argentina. Universidad de Buenos Aires. Facultad de Ingeniería; ArgentinaFil: Helguera, Gustavo Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental. Fundación de Instituto de Biología y Medicina Experimental. Instituto de Biología y Medicina Experimental; ArgentinaFil: Lerner, Betiana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional; Argentina. Universidad de Buenos Aires. Facultad de Ingeniería; ArgentinaFil: Perez, Maximiliano Sebastian. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional; Argentina. Universidad de Buenos Aires. Facultad de Ingeniería; ArgentinaFil: Mertelsmann, Roland. University of Freiburg; AlemaniaPublic Library of Science2018-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/84758Georg, Maximilian; Fernández Cabada, Tamara; Bourguignon, Natalia; Karp, Paola Julieta; Peñaherrera Pazmiño, Ana Belén; et al.; Development of image analysis software for quantification of viable cells in microchips; Public Library of Science; Plos One; 13; 3; 3-2018; 1-141932-6203CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pone.0193605info:eu-repo/semantics/altIdentifier/url/https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0193605info:eu-repo/semantics/altIdentifier/url/https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5832319/info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T12:06:10Zoai:ri.conicet.gov.ar:11336/84758instacron: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:34982025-10-22 12:06:10.694CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Development of image analysis software for quantification of viable cells in microchips
title Development of image analysis software for quantification of viable cells in microchips
spellingShingle Development of image analysis software for quantification of viable cells in microchips
Georg, Maximilian
IMAGE ANALYSIS SOFTWARE
MICROCHIP
CULTURE
QUANTIFICATION
title_short Development of image analysis software for quantification of viable cells in microchips
title_full Development of image analysis software for quantification of viable cells in microchips
title_fullStr Development of image analysis software for quantification of viable cells in microchips
title_full_unstemmed Development of image analysis software for quantification of viable cells in microchips
title_sort Development of image analysis software for quantification of viable cells in microchips
dc.creator.none.fl_str_mv Georg, Maximilian
Fernández Cabada, Tamara
Bourguignon, Natalia
Karp, Paola Julieta
Peñaherrera Pazmiño, Ana Belén
Helguera, Gustavo Fernando
Lerner, Betiana
Perez, Maximiliano Sebastian
Mertelsmann, Roland
author Georg, Maximilian
author_facet Georg, Maximilian
Fernández Cabada, Tamara
Bourguignon, Natalia
Karp, Paola Julieta
Peñaherrera Pazmiño, Ana Belén
Helguera, Gustavo Fernando
Lerner, Betiana
Perez, Maximiliano Sebastian
Mertelsmann, Roland
author_role author
author2 Fernández Cabada, Tamara
Bourguignon, Natalia
Karp, Paola Julieta
Peñaherrera Pazmiño, Ana Belén
Helguera, Gustavo Fernando
Lerner, Betiana
Perez, Maximiliano Sebastian
Mertelsmann, Roland
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv IMAGE ANALYSIS SOFTWARE
MICROCHIP
CULTURE
QUANTIFICATION
topic IMAGE ANALYSIS SOFTWARE
MICROCHIP
CULTURE
QUANTIFICATION
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.10
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Over the past few years, image analysis has emerged as a powerful tool for analyzing various cell biology parameters in an unprecedented and highly specific manner. The amount of data that is generated requires automated methods for the processing and analysis of all the resulting information. The software available so far are suitable for the processing of fluorescence and phase contrast images, but often do not provide good results from transmission light microscopy images, due to the intrinsic variation of the acquisition of images technique itself (adjustment of brightness / contrast, for instance) and the variability between image acquisition introduced by operators / equipment. In this contribution, it has been presented an image processing software, Python based image analysis for cell growth (PIACG), that is able to calculate the total area of the well occupied by cells with fusiform and rounded morphology in response to different concentrations of fetal bovine serum in microfluidic chips, from microscopy images in transmission light, in a highly efficient way.
Fil: Georg, Maximilian. University of Freiburg; Alemania
Fil: Fernández Cabada, Tamara. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional; Argentina. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina
Fil: Bourguignon, Natalia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional; Argentina. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina
Fil: Karp, Paola Julieta. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental. Fundación de Instituto de Biología y Medicina Experimental. Instituto de Biología y Medicina Experimental; Argentina
Fil: Peñaherrera Pazmiño, Ana Belén. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional; Argentina. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina
Fil: Helguera, Gustavo Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental. Fundación de Instituto de Biología y Medicina Experimental. Instituto de Biología y Medicina Experimental; Argentina
Fil: Lerner, Betiana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional; Argentina. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina
Fil: Perez, Maximiliano Sebastian. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional; Argentina. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina
Fil: Mertelsmann, Roland. University of Freiburg; Alemania
description Over the past few years, image analysis has emerged as a powerful tool for analyzing various cell biology parameters in an unprecedented and highly specific manner. The amount of data that is generated requires automated methods for the processing and analysis of all the resulting information. The software available so far are suitable for the processing of fluorescence and phase contrast images, but often do not provide good results from transmission light microscopy images, due to the intrinsic variation of the acquisition of images technique itself (adjustment of brightness / contrast, for instance) and the variability between image acquisition introduced by operators / equipment. In this contribution, it has been presented an image processing software, Python based image analysis for cell growth (PIACG), that is able to calculate the total area of the well occupied by cells with fusiform and rounded morphology in response to different concentrations of fetal bovine serum in microfluidic chips, from microscopy images in transmission light, in a highly efficient way.
publishDate 2018
dc.date.none.fl_str_mv 2018-03
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/11336/84758
Georg, Maximilian; Fernández Cabada, Tamara; Bourguignon, Natalia; Karp, Paola Julieta; Peñaherrera Pazmiño, Ana Belén; et al.; Development of image analysis software for quantification of viable cells in microchips; Public Library of Science; Plos One; 13; 3; 3-2018; 1-14
1932-6203
CONICET Digital
CONICET
url http://hdl.handle.net/11336/84758
identifier_str_mv Georg, Maximilian; Fernández Cabada, Tamara; Bourguignon, Natalia; Karp, Paola Julieta; Peñaherrera Pazmiño, Ana Belén; et al.; Development of image analysis software for quantification of viable cells in microchips; Public Library of Science; Plos One; 13; 3; 3-2018; 1-14
1932-6203
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pone.0193605
info:eu-repo/semantics/altIdentifier/url/https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0193605
info:eu-repo/semantics/altIdentifier/url/https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5832319/
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Public Library of Science
publisher.none.fl_str_mv Public Library of 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
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score 12.982451

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