Extending resolution within a single imaging frame
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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 Toggle all authors (28)
Abstract
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 Super Resolution (MSSR), a new SRM algorithm based on the Mean Shift theory, which extends spatial resolution of single fluorescence images beyond the diffraction limit of light. MSSR works on low and high fluorophore densities, is not limited by the architecture of the optical setup and is applicable to single images as well as temporal series. The theoretical limit of spatial resolution, based on optimized real-world imaging conditions and analysis of temporal image stacks, has been measured to be 40 nm. Furthermore, MSSR has denoising capabilities that outperform other SRM approaches. Along with its wide accessibility, MSSR is a powerful, flexible, and generic tool for multidimensional and live cell imaging applications.
Journal details
Journal Nature Communications
Volume 13
Issue number 1
Pages 7452
Available online
Publication date
Full text links
Publisher website (DOI) 10.1038/s41467-022-34693-9
Europe PubMed Central 36460648
Pubmed 36460648