| 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 |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Nature Communications, Vol 13, Iss 1, Pp 1-22 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2041-1723 |
| DOI: |
10.1038/s41467-022-34693-9 |
| Popis: |
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 super-resolution microscopy approaches. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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Full text from SpringerLink