PT  - JOURNAL ARTICLE
AU  - Esley Torres García
AU  - Raúl Pinto Cámara
AU  - Alejandro Linares
AU  - Damián Martínez
AU  - Víctor Abonza
AU  - Eduardo Brito-Alarcón
AU  - Carlos Calcines-Cruz
AU  - Gustavo Valdés-Galindo
AU  - David Torres
AU  - Martina Jabloñski
AU  - Héctor H. Torres-Martínez
AU  - José L. Martínez
AU  - Haydee O. Hernández
AU  - José P. Ocelotl-Oviedo
AU  - Yasel Garcés
AU  - Marco Barchi
AU  - Joseph G. Dubrovsky
AU  - Alberto Darszon
AU  - Mariano G. Buffone
AU  - Roberto Rodríguez Morales
AU  - Juan Manuel Rendon-Mancha
AU  - Christopher D. Wood
AU  - Armando Hernández-García
AU  - Diego Krapf
AU  - Álvaro H. Crevenna
AU  - Adán Guerrero
TI  - Nanoscopic resolution within a single imaging frame
AID  - 10.1101/2021.10.17.464398
DP  - 2021 Jan 01
TA  - bioRxiv
PG  - 2021.10.17.464398
4099  - http://biorxiv.org/content/early/2021/10/24/2021.10.17.464398.short
4100  - http://biorxiv.org/content/early/2021/10/24/2021.10.17.464398.full
AB  - Mean-Shift Super Resolution (MSSR) is a principle based on the Mean Shift theory that improves the spatial resolution in fluorescence images beyond the diffraction limit. MSSR works on low- and high-density fluorophore images, is not limited by the architecture of the detector (EM-CCD, sCMOS, or photomultiplier-based laser scanning systems) 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 series, has been measured to be 40 nm. Furthermore, MSSR has denoising capabilities that outperform other analytical super resolution image approaches. Altogether, MSSR is a powerful, flexible, and generic tool for multidimensional and live cell imaging applications.Competing Interest StatementThe authors have declared no competing interest.