Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Roberto Rodríguez Morales"'
Autor:
Esley Torres-García, Raúl Pinto-Cámara, Alejandro Linares, Damián Martínez, Víctor Abonza, Eduardo Brito-Alarcón, Carlos Calcines-Cruz, Gustavo Valdés-Galindo, David Torres, Martina Jabloñski, Héctor H. Torres-Martínez, José L. Martínez, Haydee O. Hernández, José P. Ocelotl-Oviedo, Yasel Garcés, Marco Barchi, Rocco D’Antuono, Ana Bošković, Joseph G. Dubrovsky, Alberto Darszon, Mariano G. Buffone, Roberto Rodríguez Morales, Juan Manuel Rendon-Mancha, Christopher D. Wood, Armando Hernández-García, Diego Krapf, Álvaro H. Crevenna, Adán Guerrero
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-22 (2022)
The presented Mean-Shift Super Resolution (MSSR) algorithm can extend spatial resolution within a single microscopy image. Its applicability extends across a wide range of experimental and instrumental configurations and it is compatible with other s
Externí odkaz:
https://doaj.org/article/999871293d6e426fa1366042d268e147
Autor:
Gustavo Asumu Mboro Nchama, Leandro Daniel Lau Alfonso, Roberto Rodríguez Morales, Ezekiel Nnamere Aneke
Publikováno v:
Journal of Applied Mathematics, Vol 2022 (2022)
Edge detection consists of a set of mathematical methods which identifies the points in a digital image where image brightness changes sharply. In the traditional edge detection methods such as the first-order derivative filters, it is easy to lose i
Externí odkaz:
https://doaj.org/article/52453735442e44e9af35c5d29706f307
Autor:
Roberto Rodríguez‐Morales
Publikováno v:
Ecology and Evolution, Vol 14, Iss 4, Pp n/a-n/a (2024)
Abstract Cave‐adapted animals evolve a suite of regressive and constructive traits that allow survival in the dark. Most studies aiming at understanding cave animal evolution have focused on the genetics and environmental underpinnings of regressiv
Externí odkaz:
https://doaj.org/article/d80bb7ab33c84f5d955e614282fa3f11
Autor:
Esley Torres-García, Raúl Pinto-Cámara, Alejandro Linares, Damián Martínez, Víctor Abonza, Eduardo Brito-Alarcón, Carlos Calcines-Cruz, Gustavo Valdés-Galindo, David Torres, Martina Jabloñski, Héctor H. Torres-Martínez, José L. Martínez, Haydee O. Hernández, José P. Ocelotl-Oviedo, Yasel Garcés, Marco Barchi, Rocco D’Antuono, Ana Bošković, Joseph G. Dubrovsky, Alberto Darszon, Mariano G. Buffone, Roberto Rodríguez Morales, Juan Manuel Rendon-Mancha, Christopher D. Wood, Armando Hernández-García, Diego Krapf, Álvaro H. Crevenna, Adán Guerrero
Publikováno v:
Nature communications. 13(1)
The resolution of fluorescence microscopy images is limited by the physical properties of light. In the last decade, numerous super-resolution microscopy (SRM) approaches have been proposed to deal with such hindrance. Here we present Mean-Shift Supe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a8b458e6fd793a5a9ba570295775fce
https://pubmed.ncbi.nlm.nih.gov/36460648
https://pubmed.ncbi.nlm.nih.gov/36460648
Publikováno v:
Journal of Pattern Recognition Research. 6:32-42
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d13c51413849879ef4b1042f66c97ad
https://doi.org/10.13176/11.159
https://doi.org/10.13176/11.159
Autor:
Roberto Rodríguez Morales
Publikováno v:
Image Segmentation
Nowadays biomedical imaging provides major aid in many branches of medicine; it enables and facilitates the capture, transmission and analysis of biomedical images as well as providing assistance towards medical diagnoses. Medical imaging is still on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82daaa455cf9ce79fc840d65b6fd2dbc
http://www.intechopen.com/articles/show/title/segmentation-methods-for-biomedical-images
http://www.intechopen.com/articles/show/title/segmentation-methods-for-biomedical-images
