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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/84758
Ver los metadatos del registro completo
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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 Técnicas2025-09-29T10:33:38Zoai: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:34982025-09-29 10:33:38.758CONICET 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 |
13.070432 |