Journal of Microscopy - 2022 - Alva - Fluorescence fluctuation‐based super‐resolution microscopy Basic concepts for an.pdf (3.17 MB)
Fluorescence fluctuation-based super-resolution microscopy: Basic concepts for an easy start.
journal contributionposted on 2022-12-08, 11:45 authored by Alma Alva, Eduardo Brito-Alarcón, Alejandro Linares, Esley Torres-García, Haydee O Hernández, Raúl Pinto-Cámara, Damián Martínez, Paul Hernández-Herrera, Rocco D'Antuono, Christopher Wood, Adán Guerrero
Due to the wave nature of light, optical microscopy has a lower-bound lateral resolution limit of approximately half of the wavelength of visible light, i.e., within the range of 200 to 350 nm. Fluorescence Fluctuation based Super Resolution Microscopy (FF-SRM) is a term used to encompass a collection of image analysis techniques which rely on the statistical processing of temporal variations of the fluorescence signal. FF-SRM aims to reduce the uncertainty of the location of fluorophores within an image, often improving spatial resolution to several tens of nanometers. FF-SRM is suitable for live-cell imaging due to its compatibility with most fluorescent probes and relatively simple instrumental and experimental requirements, which are mostly camera-based epifluorescence instruments. Each FF-SRM approach has strengths and weaknesses, which depend directly on the underlying statistical principles through which enhanced spatial resolution is achieved. In this review, the basic concepts and principles behind a range of FF-SRM methods published to date are described. Their operational parameters are explained and guidance for its selection is provided. This article is protected by copyright. All rights reserved.
Crick (Grant ID: CC1069, Grant title: STP Light Microscopy)
BioimagingComputational BiologyFluorescence FluctuationFluorescence MicroscopyNanoscopySuper Resolution Microscopybioimagingcomputational biologyfluorescence fluctuationfluorescence microscopynanoscopysuper-resolution microscopyMicroscopy, FluorescenceFluorescent DyesImage Processing, Computer-AssistedLM0204 Condensed Matter Physics0601 Biochemistry and Cell Biology0912 Materials EngineeringMicroscopy