Extending resolution within a single imaging frame

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 and Adán Guerrero ()
Additional contact information
Esley Torres-García: Universidad Autónoma del Estado de Morelos
Raúl Pinto-Cámara: Universidad Autónoma del Estado de Morelos
Alejandro Linares: Universidad Nacional Autónoma de México
Damián Martínez: Universidad Nacional Autónoma de México
Víctor Abonza: Universidad Nacional Autónoma de México
Eduardo Brito-Alarcón: Universidad Nacional Autónoma de México
Carlos Calcines-Cruz: Universidad Nacional Autónoma de México
Gustavo Valdés-Galindo: Instituto de Química. Universidad Nacional Autónoma de México
David Torres: Universidad Nacional Autónoma de México
Martina Jabloñski: Instituto de Biología y Medicina Experimental (IBYME‐CONICET)
Héctor H. Torres-Martínez: Universidad Nacional Autónoma de México
José L. Martínez: Universidad Nacional Autónoma de México
Haydee O. Hernández: Universidad Nacional Autónoma de México
José P. Ocelotl-Oviedo: Universidad Nacional Autónoma de México
Yasel Garcés: Universidad Nacional Autónoma de México
Marco Barchi: University of Rome Tor Vergata
Rocco D’Antuono: Crick Advanced Light Microscopy Facility
Ana Bošković: Neurobiology and Epigenetics Unit, European Molecular Biology Laboratory
Joseph G. Dubrovsky: Universidad Nacional Autónoma de México
Alberto Darszon: Universidad Nacional Autónoma de México
Mariano G. Buffone: Instituto de Biología y Medicina Experimental (IBYME‐CONICET)
Roberto Rodríguez Morales: Instituto de Cibernética, Matemática y Física
Juan Manuel Rendon-Mancha: Universidad Autónoma del Estado de Morelos
Christopher D. Wood: Universidad Nacional Autónoma de México
Armando Hernández-García: Instituto de Química. Universidad Nacional Autónoma de México
Diego Krapf: Colorado State University
Álvaro H. Crevenna: Neurobiology and Epigenetics Unit, European Molecular Biology Laboratory
Adán Guerrero: Universidad Nacional Autónoma de México

Nature Communications, 2022, vol. 13, issue 1, 1-22

Abstract: 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.

Date: 2022
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DOI: 10.1038/s41467-022-34693-9

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