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P853: AUTOMATED SEPARATION OF CELL CLUSTERS PROVIDES AN EASY AND ACCURATE STRATEGY FOR THE ANALYSIS OF MINIMAL RESIDUAL DISEASE IN MULTIPLE MIELOMA IN SINGLE 11-COLORS FLOW CYTOMETRY COMBINATION.

Detalles Bibliográficos
Autores principales: Piñero, Paula, Gutierrez, Natalia, Gonzalez, Rocio, Diaz, Vanesa, Marin, Elena, Morillas, Marina, Fernandes Junior, Eduardo, López Marín, Javier, Hernandez, Luis, Manresa Manresa, Pablo, Hernandez, Maria Carmen Garcia, Tarin, Fabian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10431035/
http://dx.doi.org/10.1097/01.HS9.0000970316.97730.3e
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author Piñero, Paula
Gutierrez, Natalia
Gonzalez, Rocio
Diaz, Vanesa
Marin, Elena
Morillas, Marina
Fernandes Junior, Eduardo
López Marín, Javier
Hernandez, Luis
Manresa Manresa, Pablo
Hernandez, Maria Carmen Garcia
Tarin, Fabian
author_facet Piñero, Paula
Gutierrez, Natalia
Gonzalez, Rocio
Diaz, Vanesa
Marin, Elena
Morillas, Marina
Fernandes Junior, Eduardo
López Marín, Javier
Hernandez, Luis
Manresa Manresa, Pablo
Hernandez, Maria Carmen Garcia
Tarin, Fabian
author_sort Piñero, Paula
collection PubMed
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spelling pubmed-104310352023-08-17 P853: AUTOMATED SEPARATION OF CELL CLUSTERS PROVIDES AN EASY AND ACCURATE STRATEGY FOR THE ANALYSIS OF MINIMAL RESIDUAL DISEASE IN MULTIPLE MIELOMA IN SINGLE 11-COLORS FLOW CYTOMETRY COMBINATION. Piñero, Paula Gutierrez, Natalia Gonzalez, Rocio Diaz, Vanesa Marin, Elena Morillas, Marina Fernandes Junior, Eduardo López Marín, Javier Hernandez, Luis Manresa Manresa, Pablo Hernandez, Maria Carmen Garcia Tarin, Fabian Hemasphere Posters Lippincott Williams & Wilkins 2023-08-08 /pmc/articles/PMC10431035/ http://dx.doi.org/10.1097/01.HS9.0000970316.97730.3e Text en Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access Abstract Book distributed under the Attribution-NonCommercial-NoDerivs (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) which allows third parties to download the articles and share them with others as long as they credit the author and the Abstract Book, but they cannot change the content in any way or use them commercially.
spellingShingle Posters
Piñero, Paula
Gutierrez, Natalia
Gonzalez, Rocio
Diaz, Vanesa
Marin, Elena
Morillas, Marina
Fernandes Junior, Eduardo
López Marín, Javier
Hernandez, Luis
Manresa Manresa, Pablo
Hernandez, Maria Carmen Garcia
Tarin, Fabian
P853: AUTOMATED SEPARATION OF CELL CLUSTERS PROVIDES AN EASY AND ACCURATE STRATEGY FOR THE ANALYSIS OF MINIMAL RESIDUAL DISEASE IN MULTIPLE MIELOMA IN SINGLE 11-COLORS FLOW CYTOMETRY COMBINATION.
title P853: AUTOMATED SEPARATION OF CELL CLUSTERS PROVIDES AN EASY AND ACCURATE STRATEGY FOR THE ANALYSIS OF MINIMAL RESIDUAL DISEASE IN MULTIPLE MIELOMA IN SINGLE 11-COLORS FLOW CYTOMETRY COMBINATION.
title_full P853: AUTOMATED SEPARATION OF CELL CLUSTERS PROVIDES AN EASY AND ACCURATE STRATEGY FOR THE ANALYSIS OF MINIMAL RESIDUAL DISEASE IN MULTIPLE MIELOMA IN SINGLE 11-COLORS FLOW CYTOMETRY COMBINATION.
title_fullStr P853: AUTOMATED SEPARATION OF CELL CLUSTERS PROVIDES AN EASY AND ACCURATE STRATEGY FOR THE ANALYSIS OF MINIMAL RESIDUAL DISEASE IN MULTIPLE MIELOMA IN SINGLE 11-COLORS FLOW CYTOMETRY COMBINATION.
title_full_unstemmed P853: AUTOMATED SEPARATION OF CELL CLUSTERS PROVIDES AN EASY AND ACCURATE STRATEGY FOR THE ANALYSIS OF MINIMAL RESIDUAL DISEASE IN MULTIPLE MIELOMA IN SINGLE 11-COLORS FLOW CYTOMETRY COMBINATION.
title_short P853: AUTOMATED SEPARATION OF CELL CLUSTERS PROVIDES AN EASY AND ACCURATE STRATEGY FOR THE ANALYSIS OF MINIMAL RESIDUAL DISEASE IN MULTIPLE MIELOMA IN SINGLE 11-COLORS FLOW CYTOMETRY COMBINATION.
title_sort p853: automated separation of cell clusters provides an easy and accurate strategy for the analysis of minimal residual disease in multiple mieloma in single 11-colors flow cytometry combination.
topic Posters
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10431035/
http://dx.doi.org/10.1097/01.HS9.0000970316.97730.3e
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