Exportação concluída — 

An Image Processing Protocol to Extract Variables Predictive of Human Embryo Fitness for Assisted Reproduction

Detalhes bibliográficos
Autor(a) principal: Chéles, Dóris Spinosa [UNESP]
Data de Publicação: 2022
Outros Autores: Ferreira, André Satoshi [UNESP], de Jesus, Isabela Sueitt [UNESP], Fernandez, Eleonora Inácio [UNESP], Pinheiro, Gabriel Martins [UNESP], Dal Molin, Eloiza Adriane [UNESP], Alves, Wallace [UNESP], de Souza, Rebeca Colauto Milanezi [UNESP], Bori, Lorena, Meseguer, Marcos, Rocha, José Celso [UNESP], Nogueira, Marcelo Fábio Gouveia [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.3390/app12073531
http://hdl.handle.net/11449/241734
Resumo: Despite the use of new techniques on embryo selection and the presence of equipment on the market, such as EmbryoScope® and Geri®, which help in the evaluation of embryo quality, there is still a subjectivity between the embryologist’s classifications, which are subjected to interand intra-observer variability, therefore compromising the successful implantation of the embryo. Nonetheless, with the acquisition of images through the time-lapse system, it is possible to perform digital processing of these images, providing a better analysis of the embryo, in addition to enabling the automatic analysis of a large volume of information. An image processing protocol was developed using well-established techniques to segment the image of blastocysts and extract variables of interest. A total of 33 variables were automatically generated by digital image processing, each one representing a different aspect of the embryo and describing a different characteristic of the blastocyst. These variables can be categorized into texture, gray-level average, gray-level standard deviation, modal value, relations, and light level. The automated and directed steps of the proposed processing protocol exclude spurious results, except when image quality (e.g., focus) prevents correct segmentation. The image processing protocol can segment human blastocyst images and automatically extract 33 variables that describe quantitative aspects of the blastocyst’s regions, with potential utility in embryo selection for assisted reproductive technology (ART).
id UNSP_a66dc8c0d1ea8094420fe4996368be09
oai_identifier_str oai:repositorio.unesp.br:11449/241734
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling An Image Processing Protocol to Extract Variables Predictive of Human Embryo Fitness for Assisted Reproductionblastocystdigital image processingembryo selectionmorphology-derived variablessegmentationDespite the use of new techniques on embryo selection and the presence of equipment on the market, such as EmbryoScope® and Geri®, which help in the evaluation of embryo quality, there is still a subjectivity between the embryologist’s classifications, which are subjected to interand intra-observer variability, therefore compromising the successful implantation of the embryo. Nonetheless, with the acquisition of images through the time-lapse system, it is possible to perform digital processing of these images, providing a better analysis of the embryo, in addition to enabling the automatic analysis of a large volume of information. An image processing protocol was developed using well-established techniques to segment the image of blastocysts and extract variables of interest. A total of 33 variables were automatically generated by digital image processing, each one representing a different aspect of the embryo and describing a different characteristic of the blastocyst. These variables can be categorized into texture, gray-level average, gray-level standard deviation, modal value, relations, and light level. The automated and directed steps of the proposed processing protocol exclude spurious results, except when image quality (e.g., focus) prevents correct segmentation. The image processing protocol can segment human blastocyst images and automatically extract 33 variables that describe quantitative aspects of the blastocyst’s regions, with potential utility in embryo selection for assisted reproductive technology (ART).Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Laboratory of Applied Mathematics Department of Biological Sciences São Paulo State University (UNESP)Graduate Program in Pharmacology and Biotechnology Institute of Biosciences São Paulo State University (UNESP)Laboratory of Embryonic Micromanipulation Department of Biological Sciences São Paulo State University (UNESP)IVF Laboratory IVI ValenciaHealth Research Institute La FeLaboratory of Applied Mathematics Department of Biological Sciences São Paulo State University (UNESP)Graduate Program in Pharmacology and Biotechnology Institute of Biosciences São Paulo State University (UNESP)Laboratory of Embryonic Micromanipulation Department of Biological Sciences São Paulo State University (UNESP)CAPES: 001Universidade Estadual Paulista (UNESP)IVI ValenciaHealth Research Institute La FeChéles, Dóris Spinosa [UNESP]Ferreira, André Satoshi [UNESP]de Jesus, Isabela Sueitt [UNESP]Fernandez, Eleonora Inácio [UNESP]Pinheiro, Gabriel Martins [UNESP]Dal Molin, Eloiza Adriane [UNESP]Alves, Wallace [UNESP]de Souza, Rebeca Colauto Milanezi [UNESP]Bori, LorenaMeseguer, MarcosRocha, José Celso [UNESP]Nogueira, Marcelo Fábio Gouveia [UNESP]2023-03-01T21:19:02Z2023-03-01T21:19:02Z2022-04-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.3390/app12073531Applied Sciences (Switzerland), v. 12, n. 7, 2022.2076-3417http://hdl.handle.net/11449/24173410.3390/app120735312-s2.0-85128219618Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengApplied Sciences (Switzerland)info:eu-repo/semantics/openAccess2024-06-13T17:38:41Zoai:repositorio.unesp.br:11449/241734Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T20:21:01.579382Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv An Image Processing Protocol to Extract Variables Predictive of Human Embryo Fitness for Assisted Reproduction
title An Image Processing Protocol to Extract Variables Predictive of Human Embryo Fitness for Assisted Reproduction
spellingShingle An Image Processing Protocol to Extract Variables Predictive of Human Embryo Fitness for Assisted Reproduction
Chéles, Dóris Spinosa [UNESP]
blastocyst
digital image processing
embryo selection
morphology-derived variables
segmentation
title_short An Image Processing Protocol to Extract Variables Predictive of Human Embryo Fitness for Assisted Reproduction
title_full An Image Processing Protocol to Extract Variables Predictive of Human Embryo Fitness for Assisted Reproduction
title_fullStr An Image Processing Protocol to Extract Variables Predictive of Human Embryo Fitness for Assisted Reproduction
title_full_unstemmed An Image Processing Protocol to Extract Variables Predictive of Human Embryo Fitness for Assisted Reproduction
title_sort An Image Processing Protocol to Extract Variables Predictive of Human Embryo Fitness for Assisted Reproduction
author Chéles, Dóris Spinosa [UNESP]
author_facet Chéles, Dóris Spinosa [UNESP]
Ferreira, André Satoshi [UNESP]
de Jesus, Isabela Sueitt [UNESP]
Fernandez, Eleonora Inácio [UNESP]
Pinheiro, Gabriel Martins [UNESP]
Dal Molin, Eloiza Adriane [UNESP]
Alves, Wallace [UNESP]
de Souza, Rebeca Colauto Milanezi [UNESP]
Bori, Lorena
Meseguer, Marcos
Rocha, José Celso [UNESP]
Nogueira, Marcelo Fábio Gouveia [UNESP]
author_role author
author2 Ferreira, André Satoshi [UNESP]
de Jesus, Isabela Sueitt [UNESP]
Fernandez, Eleonora Inácio [UNESP]
Pinheiro, Gabriel Martins [UNESP]
Dal Molin, Eloiza Adriane [UNESP]
Alves, Wallace [UNESP]
de Souza, Rebeca Colauto Milanezi [UNESP]
Bori, Lorena
Meseguer, Marcos
Rocha, José Celso [UNESP]
Nogueira, Marcelo Fábio Gouveia [UNESP]
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
IVI Valencia
Health Research Institute La Fe
dc.contributor.author.fl_str_mv Chéles, Dóris Spinosa [UNESP]
Ferreira, André Satoshi [UNESP]
de Jesus, Isabela Sueitt [UNESP]
Fernandez, Eleonora Inácio [UNESP]
Pinheiro, Gabriel Martins [UNESP]
Dal Molin, Eloiza Adriane [UNESP]
Alves, Wallace [UNESP]
de Souza, Rebeca Colauto Milanezi [UNESP]
Bori, Lorena
Meseguer, Marcos
Rocha, José Celso [UNESP]
Nogueira, Marcelo Fábio Gouveia [UNESP]
dc.subject.por.fl_str_mv blastocyst
digital image processing
embryo selection
morphology-derived variables
segmentation
topic blastocyst
digital image processing
embryo selection
morphology-derived variables
segmentation
description Despite the use of new techniques on embryo selection and the presence of equipment on the market, such as EmbryoScope® and Geri®, which help in the evaluation of embryo quality, there is still a subjectivity between the embryologist’s classifications, which are subjected to interand intra-observer variability, therefore compromising the successful implantation of the embryo. Nonetheless, with the acquisition of images through the time-lapse system, it is possible to perform digital processing of these images, providing a better analysis of the embryo, in addition to enabling the automatic analysis of a large volume of information. An image processing protocol was developed using well-established techniques to segment the image of blastocysts and extract variables of interest. A total of 33 variables were automatically generated by digital image processing, each one representing a different aspect of the embryo and describing a different characteristic of the blastocyst. These variables can be categorized into texture, gray-level average, gray-level standard deviation, modal value, relations, and light level. The automated and directed steps of the proposed processing protocol exclude spurious results, except when image quality (e.g., focus) prevents correct segmentation. The image processing protocol can segment human blastocyst images and automatically extract 33 variables that describe quantitative aspects of the blastocyst’s regions, with potential utility in embryo selection for assisted reproductive technology (ART).
publishDate 2022
dc.date.none.fl_str_mv 2022-04-01
2023-03-01T21:19:02Z
2023-03-01T21:19:02Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.3390/app12073531
Applied Sciences (Switzerland), v. 12, n. 7, 2022.
2076-3417
http://hdl.handle.net/11449/241734
10.3390/app12073531
2-s2.0-85128219618
url http://dx.doi.org/10.3390/app12073531
http://hdl.handle.net/11449/241734
identifier_str_mv Applied Sciences (Switzerland), v. 12, n. 7, 2022.
2076-3417
10.3390/app12073531
2-s2.0-85128219618
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Applied Sciences (Switzerland)
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1808129191338573824