dc.contributor.author | Lucas Le Lann | |
dc.contributor.author | Pierre-Emmanuel Jouve | |
dc.contributor.author | Marta Alarcón-Riquelme | |
dc.contributor.author | Christophe Jamin | |
dc.contributor.author | Jacques-Olivier Pers | |
dc.contributor.author | Blanco Alonso, Ricardo | |
dc.contributor.author | González-Gay Mantecón, Miguel Ángel | |
dc.contributor.other | Universidad de Cantabria | es_ES |
dc.date.accessioned | 2021-04-14T11:34:04Z | |
dc.date.available | 2021-04-14T11:34:04Z | |
dc.date.issued | 2020 | |
dc.identifier.issn | 2045-2322 | |
dc.identifier.uri | http://hdl.handle.net/10902/21203 | |
dc.description.abstract | One of the most challenging objective for clinical cytometry in prospective multicenter
immunomonitoring trials is to compare frequencies, absolute numbers of leukocyte populations and
further the mean fluorescence intensities of cell markers, especially when the data are generated from
different instruments. Here, we describe an innovative standardization workflow to compare all data
to carry out any large-scale, prospective multicentric flow cytometry analysis whatever the duration,
the number or type of instruments required for the realization of such projects | es_ES |
dc.format.extent | 8 p. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Nature Publishing Group | es_ES |
dc.rights | Attribution 4.0 International © The Author(s) | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.source | Scientific Reports 10, 11567 (2020). | es_ES |
dc.title | Standardization procedure for flow cytometry data harmonization in prospective multicenter studies | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.relation.publisherVersion | https://doi.org/10.1038/s41598-020-68468-3 | es_ES |
dc.rights.accessRights | openAccess | es_ES |
dc.identifier.DOI | 10.1038/s41598-020-68468-3 | |
dc.type.version | publishedVersion | es_ES |