SARS-CoV-2: theoretical analysis of the proposed algorithms to the enhancement and segmentation of high-resolution microscopy images—Part II

Today is a reality that the novel coronavirus SARS-Cov-2 has become a global pandemic. For this reason, the study of real microscopic images of this coronavirus is of great importance, as it allows us to carry out a more precise research on it. However, as we pointed out in a former paper as reporte...

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Autores principales: Rodríguez, Roberto, Mondeja, Brian A., Valdes, Odalys, Resik, Sonia, Vizcaino, Ananayla, Acosta, Emilio F., González, Yorexis, Kourí, Vivian, Díaz, Angelina, Guzmán, María G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer London 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8754368/
https://www.ncbi.nlm.nih.gov/pubmed/35039754
http://dx.doi.org/10.1007/s11760-021-02045-7
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author Rodríguez, Roberto
Mondeja, Brian A.
Valdes, Odalys
Resik, Sonia
Vizcaino, Ananayla
Acosta, Emilio F.
González, Yorexis
Kourí, Vivian
Díaz, Angelina
Guzmán, María G.
author_facet Rodríguez, Roberto
Mondeja, Brian A.
Valdes, Odalys
Resik, Sonia
Vizcaino, Ananayla
Acosta, Emilio F.
González, Yorexis
Kourí, Vivian
Díaz, Angelina
Guzmán, María G.
author_sort Rodríguez, Roberto
collection PubMed
description Today is a reality that the novel coronavirus SARS-Cov-2 has become a global pandemic. For this reason, the study of real microscopic images of this coronavirus is of great importance, as it allows us to carry out a more precise research on it. However, as we pointed out in a former paper as reported by Roberto Rodríguez (SARS-CoV-2: Enhancement and Segmentation of High-Resolution Microscopy Images. Part I”, Sent to Signal, Image and Video Processing Video Processing, Springer, New York, 2020), many times these microscopic images present some blurring problems, which are always susceptible to be improved. The aim of this work is to carry out a theoretical analysis of the proposed algorithms to enhancement and segmentation of these microscopic images, which is important for the design and development of future algorithms before new epidemics.
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spelling pubmed-87543682022-01-13 SARS-CoV-2: theoretical analysis of the proposed algorithms to the enhancement and segmentation of high-resolution microscopy images—Part II Rodríguez, Roberto Mondeja, Brian A. Valdes, Odalys Resik, Sonia Vizcaino, Ananayla Acosta, Emilio F. González, Yorexis Kourí, Vivian Díaz, Angelina Guzmán, María G. Signal Image Video Process Original Paper Today is a reality that the novel coronavirus SARS-Cov-2 has become a global pandemic. For this reason, the study of real microscopic images of this coronavirus is of great importance, as it allows us to carry out a more precise research on it. However, as we pointed out in a former paper as reported by Roberto Rodríguez (SARS-CoV-2: Enhancement and Segmentation of High-Resolution Microscopy Images. Part I”, Sent to Signal, Image and Video Processing Video Processing, Springer, New York, 2020), many times these microscopic images present some blurring problems, which are always susceptible to be improved. The aim of this work is to carry out a theoretical analysis of the proposed algorithms to enhancement and segmentation of these microscopic images, which is important for the design and development of future algorithms before new epidemics. Springer London 2022-01-12 2022 /pmc/articles/PMC8754368/ /pubmed/35039754 http://dx.doi.org/10.1007/s11760-021-02045-7 Text en © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Paper
Rodríguez, Roberto
Mondeja, Brian A.
Valdes, Odalys
Resik, Sonia
Vizcaino, Ananayla
Acosta, Emilio F.
González, Yorexis
Kourí, Vivian
Díaz, Angelina
Guzmán, María G.
SARS-CoV-2: theoretical analysis of the proposed algorithms to the enhancement and segmentation of high-resolution microscopy images—Part II
title SARS-CoV-2: theoretical analysis of the proposed algorithms to the enhancement and segmentation of high-resolution microscopy images—Part II
title_full SARS-CoV-2: theoretical analysis of the proposed algorithms to the enhancement and segmentation of high-resolution microscopy images—Part II
title_fullStr SARS-CoV-2: theoretical analysis of the proposed algorithms to the enhancement and segmentation of high-resolution microscopy images—Part II
title_full_unstemmed SARS-CoV-2: theoretical analysis of the proposed algorithms to the enhancement and segmentation of high-resolution microscopy images—Part II
title_short SARS-CoV-2: theoretical analysis of the proposed algorithms to the enhancement and segmentation of high-resolution microscopy images—Part II
title_sort sars-cov-2: theoretical analysis of the proposed algorithms to the enhancement and segmentation of high-resolution microscopy images—part ii
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8754368/
https://www.ncbi.nlm.nih.gov/pubmed/35039754
http://dx.doi.org/10.1007/s11760-021-02045-7
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