Video processing analysis for the determination and evaluation of the chemotactic response in bacterial populations

Autores
Nisenbaum, Melina; Maldonado, Emilio; Martínez Arca, Jorge; González, Jorge F.; Passoni, Lucía I.; Murialdo, Silvia Elena
Año de publicación
2016
Idioma
español castellano
Tipo de recurso
artículo
Estado
versión enviada
Descripción
The aim of the present work was to design a methodology based on video processing to obtain indicators of bacterial population motility that allow the quantitative and qualitative analysis and comparison of the chemotactic phenomenon with different attractants in the agarosein plug bridge method. Video image sequences were processed applying Shannon's entropy to the intensity time series of each pixel, which conducted to a final pseudo colored image resembling a map of the dynamic bacterial clusters. Processed images could discriminate perfectly between positive and negative attractant responses at different periods of time from the beginning of the assay. An index of spatial and temporal motility was proposed to quantify the bacterial response. With this index, this video processing method allowed obtaining quantitative information of the dynamic changes in space and time from a traditional qualitative assay. We conclude that this computational technique, applied to the traditional agarosein plug assay, has demonstrated good sensitivity for identifying chemotactic regions with a broad range of motility.
Materia
Ciencias Químicas
bacteria
motility
video
chemotaxis
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-nd/4.0/
Repositorio
CIC Digital (CICBA)
Institución
Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
OAI Identificador
oai:digital.cic.gba.gob.ar:11746/4322
Acceder
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oai_identifier_str oai:digital.cic.gba.gob.ar:11746/4322
network_acronym_str CICBA
repository_id_str 9441
network_name_str CIC Digital (CICBA)
spelling Video processing analysis for the determination and evaluation of the chemotactic response in bacterial populationsNisenbaum, MelinaMaldonado, EmilioMartínez Arca, JorgeGonzález, Jorge F.Passoni, Lucía I.Murialdo, Silvia ElenaCiencias QuímicasbacteriamotilityvideochemotaxisThe aim of the present work was to design a methodology based on video processing to obtain indicators of bacterial population motility that allow the quantitative and qualitative analysis and comparison of the chemotactic phenomenon with different attractants in the agarosein plug bridge method. Video image sequences were processed applying Shannon's entropy to the intensity time series of each pixel, which conducted to a final pseudo colored image resembling a map of the dynamic bacterial clusters. Processed images could discriminate perfectly between positive and negative attractant responses at different periods of time from the beginning of the assay. An index of spatial and temporal motility was proposed to quantify the bacterial response. With this index, this video processing method allowed obtaining quantitative information of the dynamic changes in space and time from a traditional qualitative assay. We conclude that this computational technique, applied to the traditional agarosein plug assay, has demonstrated good sensitivity for identifying chemotactic regions with a broad range of motility.2016-07-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/submittedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttps://digital.cic.gba.gob.ar/handle/11746/4322spainfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/reponame:CIC Digital (CICBA)instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Airesinstacron:CICBA2025-09-29T13:40:24Zoai:digital.cic.gba.gob.ar:11746/4322Institucionalhttp://digital.cic.gba.gob.arOrganismo científico-tecnológicoNo correspondehttp://digital.cic.gba.gob.ar/oai/snrdmarisa.degiusti@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:94412025-09-29 13:40:24.702CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Airesfalse
dc.title.none.fl_str_mv Video processing analysis for the determination and evaluation of the chemotactic response in bacterial populations
title Video processing analysis for the determination and evaluation of the chemotactic response in bacterial populations
spellingShingle Video processing analysis for the determination and evaluation of the chemotactic response in bacterial populations
Nisenbaum, Melina
Ciencias Químicas
bacteria
motility
video
chemotaxis
title_short Video processing analysis for the determination and evaluation of the chemotactic response in bacterial populations
title_full Video processing analysis for the determination and evaluation of the chemotactic response in bacterial populations
title_fullStr Video processing analysis for the determination and evaluation of the chemotactic response in bacterial populations
title_full_unstemmed Video processing analysis for the determination and evaluation of the chemotactic response in bacterial populations
title_sort Video processing analysis for the determination and evaluation of the chemotactic response in bacterial populations
dc.creator.none.fl_str_mv Nisenbaum, Melina
Maldonado, Emilio
Martínez Arca, Jorge
González, Jorge F.
Passoni, Lucía I.
Murialdo, Silvia Elena
author Nisenbaum, Melina
author_facet Nisenbaum, Melina
Maldonado, Emilio
Martínez Arca, Jorge
González, Jorge F.
Passoni, Lucía I.
Murialdo, Silvia Elena
author_role author
author2 Maldonado, Emilio
Martínez Arca, Jorge
González, Jorge F.
Passoni, Lucía I.
Murialdo, Silvia Elena
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Ciencias Químicas
bacteria
motility
video
chemotaxis
topic Ciencias Químicas
bacteria
motility
video
chemotaxis
dc.description.none.fl_txt_mv The aim of the present work was to design a methodology based on video processing to obtain indicators of bacterial population motility that allow the quantitative and qualitative analysis and comparison of the chemotactic phenomenon with different attractants in the agarosein plug bridge method. Video image sequences were processed applying Shannon's entropy to the intensity time series of each pixel, which conducted to a final pseudo colored image resembling a map of the dynamic bacterial clusters. Processed images could discriminate perfectly between positive and negative attractant responses at different periods of time from the beginning of the assay. An index of spatial and temporal motility was proposed to quantify the bacterial response. With this index, this video processing method allowed obtaining quantitative information of the dynamic changes in space and time from a traditional qualitative assay. We conclude that this computational technique, applied to the traditional agarosein plug assay, has demonstrated good sensitivity for identifying chemotactic regions with a broad range of motility.
description The aim of the present work was to design a methodology based on video processing to obtain indicators of bacterial population motility that allow the quantitative and qualitative analysis and comparison of the chemotactic phenomenon with different attractants in the agarosein plug bridge method. Video image sequences were processed applying Shannon's entropy to the intensity time series of each pixel, which conducted to a final pseudo colored image resembling a map of the dynamic bacterial clusters. Processed images could discriminate perfectly between positive and negative attractant responses at different periods of time from the beginning of the assay. An index of spatial and temporal motility was proposed to quantify the bacterial response. With this index, this video processing method allowed obtaining quantitative information of the dynamic changes in space and time from a traditional qualitative assay. We conclude that this computational technique, applied to the traditional agarosein plug assay, has demonstrated good sensitivity for identifying chemotactic regions with a broad range of motility.
publishDate 2016
dc.date.none.fl_str_mv 2016-07-20
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/submittedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str submittedVersion
dc.identifier.none.fl_str_mv https://digital.cic.gba.gob.ar/handle/11746/4322
url https://digital.cic.gba.gob.ar/handle/11746/4322
dc.language.none.fl_str_mv spa
language spa
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:CIC Digital (CICBA)
instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
instacron:CICBA
reponame_str CIC Digital (CICBA)
collection CIC Digital (CICBA)
instname_str Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
instacron_str CICBA
institution CICBA
repository.name.fl_str_mv CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
repository.mail.fl_str_mv marisa.degiusti@sedici.unlp.edu.ar
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score 13.070432

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