Cell Interaction Analysis by Imaging Flow Cytometry

Autores
Payés, Cristian; Rodríguez, José A.; Friend, Sherree; Helguera, Gustavo Fernando
Año de publicación
2012
Idioma
inglés
Tipo de recurso
parte de libro
Estado
versión publicada
Descripción
Many processes such as cell adhesion, tissue development, cellular communication, inflammation, tumor metastasis, and microbial infection require direct interactions between cells. Some cell-cell interactions are transient, as is the case of the contacts between cells ofthe immune system, the interactions of white blood cells to malignant cells or to sites oftissue inflammation. These events often entail structural alterations in the point of contact ofthe cells involved, and may involve the fusion, transfer or exchange of material between thecells; which occur in a scale that is suited for optical microscopy analysis. However, due toits low throughput nature, microscopy often suffers from acquisition bias and limitedstatistical power. Moreover, because the data is typically analyzed in a qualitative manner, itis difficult to obtain standardized results. Strong scientific conclusions demand objectivecollection of large amounts of relevant information that can be analyzed in a quantitative,standardized, and statistically robust manner. Flow cytometry overcomes these problemsbut reduces the rich information available via optical microscopy to a set of intensitymeasurements. By combining high speed automated image acquisition with quantitativeimage analysis, Multispectral Imaging Flow Cytometry (MIFC) provides all the elementsrequired for discriminating cells based on intensity and appearance in a standardized andstatistical manner. In recent years, the application of this technology for the analysis of cell-cell interaction has multiplied, in particular in the field of immunology, allowing theobservation and quantification of events in a way that could not be achieved before.
Fil: Payés, Cristian. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay; Argentina
Fil: Rodríguez, José A.. No especifíca;
Fil: Friend, Sherree. No especifíca;
Fil: Helguera, Gustavo Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay; Argentina
Materia
Antibody
Cytotoxicity
ADCC
Cell Interaction
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:11336/129346
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/129346
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Cell Interaction Analysis by Imaging Flow CytometryPayés, CristianRodríguez, José A.Friend, SherreeHelguera, Gustavo FernandoAntibodyCytotoxicityADCCCell Interactionhttps://purl.org/becyt/ford/3.3https://purl.org/becyt/ford/3Many processes such as cell adhesion, tissue development, cellular communication, inflammation, tumor metastasis, and microbial infection require direct interactions between cells. Some cell-cell interactions are transient, as is the case of the contacts between cells ofthe immune system, the interactions of white blood cells to malignant cells or to sites oftissue inflammation. These events often entail structural alterations in the point of contact ofthe cells involved, and may involve the fusion, transfer or exchange of material between thecells; which occur in a scale that is suited for optical microscopy analysis. However, due toits low throughput nature, microscopy often suffers from acquisition bias and limitedstatistical power. Moreover, because the data is typically analyzed in a qualitative manner, itis difficult to obtain standardized results. Strong scientific conclusions demand objectivecollection of large amounts of relevant information that can be analyzed in a quantitative,standardized, and statistically robust manner. Flow cytometry overcomes these problemsbut reduces the rich information available via optical microscopy to a set of intensitymeasurements. By combining high speed automated image acquisition with quantitativeimage analysis, Multispectral Imaging Flow Cytometry (MIFC) provides all the elementsrequired for discriminating cells based on intensity and appearance in a standardized andstatistical manner. In recent years, the application of this technology for the analysis of cell-cell interaction has multiplied, in particular in the field of immunology, allowing theobservation and quantification of events in a way that could not be achieved before.Fil: Payés, Cristian. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay; ArgentinaFil: Rodríguez, José A.. No especifíca;Fil: Friend, Sherree. No especifíca;Fil: Helguera, Gustavo Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay; ArgentinaIntechOpenGowder, S.2012info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookParthttp://purl.org/coar/resource_type/c_3248info:ar-repo/semantics/parteDeLibroapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/129346Payés, Cristian; Rodríguez, José A.; Friend, Sherree; Helguera, Gustavo Fernando; Cell Interaction Analysis by Imaging Flow Cytometry; IntechOpen; 2012; 303-322978-953-51-0792-7CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.intechopen.com/chapters/39831info:eu-repo/semantics/altIdentifier/doi/10.5772/51147info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:07:27Zoai:ri.conicet.gov.ar:11336/129346instacron: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:34982025-09-10 13:07:27.822CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Cell Interaction Analysis by Imaging Flow Cytometry
title Cell Interaction Analysis by Imaging Flow Cytometry
spellingShingle Cell Interaction Analysis by Imaging Flow Cytometry
Payés, Cristian
Antibody
Cytotoxicity
ADCC
Cell Interaction
title_short Cell Interaction Analysis by Imaging Flow Cytometry
title_full Cell Interaction Analysis by Imaging Flow Cytometry
title_fullStr Cell Interaction Analysis by Imaging Flow Cytometry
title_full_unstemmed Cell Interaction Analysis by Imaging Flow Cytometry
title_sort Cell Interaction Analysis by Imaging Flow Cytometry
dc.creator.none.fl_str_mv Payés, Cristian
Rodríguez, José A.
Friend, Sherree
Helguera, Gustavo Fernando
author Payés, Cristian
author_facet Payés, Cristian
Rodríguez, José A.
Friend, Sherree
Helguera, Gustavo Fernando
author_role author
author2 Rodríguez, José A.
Friend, Sherree
Helguera, Gustavo Fernando
author2_role author
author
author
dc.contributor.none.fl_str_mv Gowder, S.
dc.subject.none.fl_str_mv Antibody
Cytotoxicity
ADCC
Cell Interaction
topic Antibody
Cytotoxicity
ADCC
Cell Interaction
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.3
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Many processes such as cell adhesion, tissue development, cellular communication, inflammation, tumor metastasis, and microbial infection require direct interactions between cells. Some cell-cell interactions are transient, as is the case of the contacts between cells ofthe immune system, the interactions of white blood cells to malignant cells or to sites oftissue inflammation. These events often entail structural alterations in the point of contact ofthe cells involved, and may involve the fusion, transfer or exchange of material between thecells; which occur in a scale that is suited for optical microscopy analysis. However, due toits low throughput nature, microscopy often suffers from acquisition bias and limitedstatistical power. Moreover, because the data is typically analyzed in a qualitative manner, itis difficult to obtain standardized results. Strong scientific conclusions demand objectivecollection of large amounts of relevant information that can be analyzed in a quantitative,standardized, and statistically robust manner. Flow cytometry overcomes these problemsbut reduces the rich information available via optical microscopy to a set of intensitymeasurements. By combining high speed automated image acquisition with quantitativeimage analysis, Multispectral Imaging Flow Cytometry (MIFC) provides all the elementsrequired for discriminating cells based on intensity and appearance in a standardized andstatistical manner. In recent years, the application of this technology for the analysis of cell-cell interaction has multiplied, in particular in the field of immunology, allowing theobservation and quantification of events in a way that could not be achieved before.
Fil: Payés, Cristian. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay; Argentina
Fil: Rodríguez, José A.. No especifíca;
Fil: Friend, Sherree. No especifíca;
Fil: Helguera, Gustavo Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay; Argentina
description Many processes such as cell adhesion, tissue development, cellular communication, inflammation, tumor metastasis, and microbial infection require direct interactions between cells. Some cell-cell interactions are transient, as is the case of the contacts between cells ofthe immune system, the interactions of white blood cells to malignant cells or to sites oftissue inflammation. These events often entail structural alterations in the point of contact ofthe cells involved, and may involve the fusion, transfer or exchange of material between thecells; which occur in a scale that is suited for optical microscopy analysis. However, due toits low throughput nature, microscopy often suffers from acquisition bias and limitedstatistical power. Moreover, because the data is typically analyzed in a qualitative manner, itis difficult to obtain standardized results. Strong scientific conclusions demand objectivecollection of large amounts of relevant information that can be analyzed in a quantitative,standardized, and statistically robust manner. Flow cytometry overcomes these problemsbut reduces the rich information available via optical microscopy to a set of intensitymeasurements. By combining high speed automated image acquisition with quantitativeimage analysis, Multispectral Imaging Flow Cytometry (MIFC) provides all the elementsrequired for discriminating cells based on intensity and appearance in a standardized andstatistical manner. In recent years, the application of this technology for the analysis of cell-cell interaction has multiplied, in particular in the field of immunology, allowing theobservation and quantification of events in a way that could not be achieved before.
publishDate 2012
dc.date.none.fl_str_mv 2012
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/bookPart
http://purl.org/coar/resource_type/c_3248
info:ar-repo/semantics/parteDeLibro
status_str publishedVersion
format bookPart
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/129346
Payés, Cristian; Rodríguez, José A.; Friend, Sherree; Helguera, Gustavo Fernando; Cell Interaction Analysis by Imaging Flow Cytometry; IntechOpen; 2012; 303-322
978-953-51-0792-7
CONICET Digital
CONICET
url http://hdl.handle.net/11336/129346
identifier_str_mv Payés, Cristian; Rodríguez, José A.; Friend, Sherree; Helguera, Gustavo Fernando; Cell Interaction Analysis by Imaging Flow Cytometry; IntechOpen; 2012; 303-322
978-953-51-0792-7
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.intechopen.com/chapters/39831
info:eu-repo/semantics/altIdentifier/doi/10.5772/51147
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
dc.publisher.none.fl_str_mv IntechOpen
publisher.none.fl_str_mv IntechOpen
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 12.993085

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