New insights into the analysis of red blood cells from leukemia and anemia patients: Nonlinear quantifiers, fractal mathematics, and Wavelet Transform

Autores
Bortolato, Santiago Andres; Mancilla Canales, Manuel Arturo; Riquelme, Bibiana Doris; Raviola, Mariana Paula; Leguto, Alcides José; Rebechi, Juan Pablo; Ponce de León, Patricia Carolina; Korol, Ana María
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The alterations of red blood cells (RBCs) membrane in many hematological diseases prevent blood to accomplish its functions, but how these alterations occur is not completely understood. Hence, the development of a simple and accurate methodology for the characterization of different populations of RBCs is necessary for hematology and clinical diagnosis. In this work, we focus on different pathologies that affect the hemorheological properties of human beings blood. The results were obtained by studying healthy individuals, anemia and leukemia patient samples. Data analysis involved the use of non-linear methods, based on two different analytical strategies. On one hand, we used nonlinear mathematical quantifiers (False Nearest Neighbors, Embedding Dimension, May–Sugihara Correlation, and Hurst Exponent) on ektacytometrically recorded time series measuring the elongation of re-suspended RBCs subjected to well-defined shear stress. On the other hand, we developed an analytical methodology to aid in the diagnosis of those pathologies, based on the box-counting dimension from digital images of cells suspensions that were denoised standardly by application of Wavelet Transform. The results allowed preliminary discrimination of different populations studied and a correlation with its membrane damage.
Fil: Bortolato, Santiago Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Química Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario; Argentina
Fil: Mancilla Canales, Manuel Arturo. Universidad Nacional de Rosario; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Riquelme, Bibiana Doris. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Raviola, Mariana Paula. Universidad Nacional de Rosario; Argentina
Fil: Leguto, Alcides José. Universidad Nacional de Rosario; Argentina
Fil: Rebechi, Juan Pablo. Universidad Nacional de Rosario; Argentina
Fil: Ponce de León, Patricia Carolina. Universidad Nacional de Rosario; Argentina
Fil: Korol, Ana María. Universidad Nacional de Rosario; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
ANEMIA
BOX-COUNTING DIMENSION
HURST EXPONENT
LEUKEMIA
MAY AND SUGIHARA
RED BLOOD CELLS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/152278
Acceder
id CONICETDig_4da6b87baa9434b602dad877c4a5cbec
oai_identifier_str oai:ri.conicet.gov.ar:11336/152278
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling New insights into the analysis of red blood cells from leukemia and anemia patients: Nonlinear quantifiers, fractal mathematics, and Wavelet TransformBortolato, Santiago AndresMancilla Canales, Manuel ArturoRiquelme, Bibiana DorisRaviola, Mariana PaulaLeguto, Alcides JoséRebechi, Juan PabloPonce de León, Patricia CarolinaKorol, Ana MaríaANEMIABOX-COUNTING DIMENSIONHURST EXPONENTLEUKEMIAMAY AND SUGIHARARED BLOOD CELLShttps://purl.org/becyt/ford/1.1https://purl.org/becyt/ford/1The alterations of red blood cells (RBCs) membrane in many hematological diseases prevent blood to accomplish its functions, but how these alterations occur is not completely understood. Hence, the development of a simple and accurate methodology for the characterization of different populations of RBCs is necessary for hematology and clinical diagnosis. In this work, we focus on different pathologies that affect the hemorheological properties of human beings blood. The results were obtained by studying healthy individuals, anemia and leukemia patient samples. Data analysis involved the use of non-linear methods, based on two different analytical strategies. On one hand, we used nonlinear mathematical quantifiers (False Nearest Neighbors, Embedding Dimension, May–Sugihara Correlation, and Hurst Exponent) on ektacytometrically recorded time series measuring the elongation of re-suspended RBCs subjected to well-defined shear stress. On the other hand, we developed an analytical methodology to aid in the diagnosis of those pathologies, based on the box-counting dimension from digital images of cells suspensions that were denoised standardly by application of Wavelet Transform. The results allowed preliminary discrimination of different populations studied and a correlation with its membrane damage.Fil: Bortolato, Santiago Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Química Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario; ArgentinaFil: Mancilla Canales, Manuel Arturo. Universidad Nacional de Rosario; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Riquelme, Bibiana Doris. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Raviola, Mariana Paula. Universidad Nacional de Rosario; ArgentinaFil: Leguto, Alcides José. Universidad Nacional de Rosario; ArgentinaFil: Rebechi, Juan Pablo. Universidad Nacional de Rosario; ArgentinaFil: Ponce de León, Patricia Carolina. Universidad Nacional de Rosario; ArgentinaFil: Korol, Ana María. Universidad Nacional de Rosario; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaElsevier Science2021-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/152278Bortolato, Santiago Andres; Mancilla Canales, Manuel Arturo; Riquelme, Bibiana Doris; Raviola, Mariana Paula; Leguto, Alcides José; et al.; New insights into the analysis of red blood cells from leukemia and anemia patients: Nonlinear quantifiers, fractal mathematics, and Wavelet Transform; Elsevier Science; Physica A: Statistical Mechanics and its Applications; 567; 4-2021; 1-250378-4371CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.physa.2020.125645info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0378437120309432info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:07:34Zoai:ri.conicet.gov.ar:11336/152278instacron: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 10:07:34.657CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv New insights into the analysis of red blood cells from leukemia and anemia patients: Nonlinear quantifiers, fractal mathematics, and Wavelet Transform
title New insights into the analysis of red blood cells from leukemia and anemia patients: Nonlinear quantifiers, fractal mathematics, and Wavelet Transform
spellingShingle New insights into the analysis of red blood cells from leukemia and anemia patients: Nonlinear quantifiers, fractal mathematics, and Wavelet Transform
Bortolato, Santiago Andres
ANEMIA
BOX-COUNTING DIMENSION
HURST EXPONENT
LEUKEMIA
MAY AND SUGIHARA
RED BLOOD CELLS
title_short New insights into the analysis of red blood cells from leukemia and anemia patients: Nonlinear quantifiers, fractal mathematics, and Wavelet Transform
title_full New insights into the analysis of red blood cells from leukemia and anemia patients: Nonlinear quantifiers, fractal mathematics, and Wavelet Transform
title_fullStr New insights into the analysis of red blood cells from leukemia and anemia patients: Nonlinear quantifiers, fractal mathematics, and Wavelet Transform
title_full_unstemmed New insights into the analysis of red blood cells from leukemia and anemia patients: Nonlinear quantifiers, fractal mathematics, and Wavelet Transform
title_sort New insights into the analysis of red blood cells from leukemia and anemia patients: Nonlinear quantifiers, fractal mathematics, and Wavelet Transform
dc.creator.none.fl_str_mv Bortolato, Santiago Andres
Mancilla Canales, Manuel Arturo
Riquelme, Bibiana Doris
Raviola, Mariana Paula
Leguto, Alcides José
Rebechi, Juan Pablo
Ponce de León, Patricia Carolina
Korol, Ana María
author Bortolato, Santiago Andres
author_facet Bortolato, Santiago Andres
Mancilla Canales, Manuel Arturo
Riquelme, Bibiana Doris
Raviola, Mariana Paula
Leguto, Alcides José
Rebechi, Juan Pablo
Ponce de León, Patricia Carolina
Korol, Ana María
author_role author
author2 Mancilla Canales, Manuel Arturo
Riquelme, Bibiana Doris
Raviola, Mariana Paula
Leguto, Alcides José
Rebechi, Juan Pablo
Ponce de León, Patricia Carolina
Korol, Ana María
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv ANEMIA
BOX-COUNTING DIMENSION
HURST EXPONENT
LEUKEMIA
MAY AND SUGIHARA
RED BLOOD CELLS
topic ANEMIA
BOX-COUNTING DIMENSION
HURST EXPONENT
LEUKEMIA
MAY AND SUGIHARA
RED BLOOD CELLS
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.1
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The alterations of red blood cells (RBCs) membrane in many hematological diseases prevent blood to accomplish its functions, but how these alterations occur is not completely understood. Hence, the development of a simple and accurate methodology for the characterization of different populations of RBCs is necessary for hematology and clinical diagnosis. In this work, we focus on different pathologies that affect the hemorheological properties of human beings blood. The results were obtained by studying healthy individuals, anemia and leukemia patient samples. Data analysis involved the use of non-linear methods, based on two different analytical strategies. On one hand, we used nonlinear mathematical quantifiers (False Nearest Neighbors, Embedding Dimension, May–Sugihara Correlation, and Hurst Exponent) on ektacytometrically recorded time series measuring the elongation of re-suspended RBCs subjected to well-defined shear stress. On the other hand, we developed an analytical methodology to aid in the diagnosis of those pathologies, based on the box-counting dimension from digital images of cells suspensions that were denoised standardly by application of Wavelet Transform. The results allowed preliminary discrimination of different populations studied and a correlation with its membrane damage.
Fil: Bortolato, Santiago Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Química Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario; Argentina
Fil: Mancilla Canales, Manuel Arturo. Universidad Nacional de Rosario; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Riquelme, Bibiana Doris. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Raviola, Mariana Paula. Universidad Nacional de Rosario; Argentina
Fil: Leguto, Alcides José. Universidad Nacional de Rosario; Argentina
Fil: Rebechi, Juan Pablo. Universidad Nacional de Rosario; Argentina
Fil: Ponce de León, Patricia Carolina. Universidad Nacional de Rosario; Argentina
Fil: Korol, Ana María. Universidad Nacional de Rosario; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description The alterations of red blood cells (RBCs) membrane in many hematological diseases prevent blood to accomplish its functions, but how these alterations occur is not completely understood. Hence, the development of a simple and accurate methodology for the characterization of different populations of RBCs is necessary for hematology and clinical diagnosis. In this work, we focus on different pathologies that affect the hemorheological properties of human beings blood. The results were obtained by studying healthy individuals, anemia and leukemia patient samples. Data analysis involved the use of non-linear methods, based on two different analytical strategies. On one hand, we used nonlinear mathematical quantifiers (False Nearest Neighbors, Embedding Dimension, May–Sugihara Correlation, and Hurst Exponent) on ektacytometrically recorded time series measuring the elongation of re-suspended RBCs subjected to well-defined shear stress. On the other hand, we developed an analytical methodology to aid in the diagnosis of those pathologies, based on the box-counting dimension from digital images of cells suspensions that were denoised standardly by application of Wavelet Transform. The results allowed preliminary discrimination of different populations studied and a correlation with its membrane damage.
publishDate 2021
dc.date.none.fl_str_mv 2021-04
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/11336/152278
Bortolato, Santiago Andres; Mancilla Canales, Manuel Arturo; Riquelme, Bibiana Doris; Raviola, Mariana Paula; Leguto, Alcides José; et al.; New insights into the analysis of red blood cells from leukemia and anemia patients: Nonlinear quantifiers, fractal mathematics, and Wavelet Transform; Elsevier Science; Physica A: Statistical Mechanics and its Applications; 567; 4-2021; 1-25
0378-4371
CONICET Digital
CONICET
url http://hdl.handle.net/11336/152278
identifier_str_mv Bortolato, Santiago Andres; Mancilla Canales, Manuel Arturo; Riquelme, Bibiana Doris; Raviola, Mariana Paula; Leguto, Alcides José; et al.; New insights into the analysis of red blood cells from leukemia and anemia patients: Nonlinear quantifiers, fractal mathematics, and Wavelet Transform; Elsevier Science; Physica A: Statistical Mechanics and its Applications; 567; 4-2021; 1-25
0378-4371
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.physa.2020.125645
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0378437120309432
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier 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
_version_ 1844613937186734080
score 13.070432

Publicaciones similares