Author
Listed:
- Esley Torres-García
(Universidad Autónoma del Estado de Morelos
Universidad Nacional Autónoma de México)
- Raúl Pinto-Cámara
(Universidad Autónoma del Estado de Morelos
Universidad Nacional Autónoma de México)
- Alejandro Linares
(Universidad Nacional Autónoma de México
Marine Biological Laboratory)
- 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
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)
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.
Suggested Citation
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, 2022.
"Extending resolution within a single imaging frame,"
Nature Communications, Nature, vol. 13(1), pages 1-22, December.
Handle:
RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-34693-9
DOI: 10.1038/s41467-022-34693-9
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