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SRRF specifications


Unique identifier OMICS_18870
Alternative name Super-Resolution Radial Fluctuations
Software type Application/Script
Interface Command line interface
Restrictions to use License purchase required
Operating system Unix/Linux, Mac OS, Windows
Programming languages Java
License GNU General Public License version 3.0
Computer skills Advanced
Version 1.0
Stability Stable
Maintained Yes




No version available



  • person_outline Ricardo Henriques

Additional information

Publications for Super-Resolution Radial Fluctuations

SRRF citations


Concepts in Light Microscopy of Viruses

PMCID: 5923496
PMID: 29670029
DOI: 10.3390/v10040202

[…] ]. Another method termed 3B analysis utilizes Bayesian statistical analyses to obtain the super-resolution information from the temporal domain []. The so-called super-resolution radial fluctuations (SRRF) method achieves super-resolution by radial-symmetry based higher-order statistical analysis of temporal intensity fluctuations of conventional fluorophores. Impressively, SRRF achieves 60 nm res […]


Heterogeneous localisation of membrane proteins in Staphylococcus aureus

Sci Rep
PMCID: 5826919
PMID: 29483609
DOI: 10.1038/s41598-018-21750-x

[…] tum. This localisation can be most clearly observed in exponentially growing cells and diminishes as cells enter stationary phase (Fig. ) which was confirmed using the super-resolution approach NanoJ-SRRF (Fig. ). Importantly, PlsY localises in a dose-dependent manner (Fig. ) where over-expression leads to a more uniform distribution of fluorescence signal (Fig. ). To analyse, often subtle, locali […]


Evolutionary Conserved Cysteines Function as cis Acting Regulators of Arabidopsis PIN FORMED 2 Distribution

Int J Mol Sci
PMCID: 5713244
PMID: 29109378
DOI: 10.3390/ijms18112274
call_split See protocol

[…] dual cells. Average values were depicted as box plots, their statistical significance was calculated using Two-tailed t-test or Mann-Whitney Rank Sum test in Sigma Plot (Systat, Chicago, IL, USA).For SRRF analysis, the NanoJ-SRRF plugin for Fiji software was used []. Image stack of 100 SD image frames (frequency 32 fps) was grabbed with NIS elements 3.1 software (Nikon, Tokyo, Japan) in 14 bit col […]


CRISPR Cas9 Mediated Labelling Allows for Single Molecule Imaging and Resolution

Sci Rep
PMCID: 5559501
PMID: 28814796
DOI: 10.1038/s41598-017-08493-x

[…] 0 × 1.49 NA TIRF Objective lens and NIS Elements 4.2 software. Images were reconstructed using the ThunderSTORM plug-in in Fiji using a Maximum Likelihood and Integrated Gaussian PSF fitting or NanoJ-SRRF in Fiji. ThunderSTORM localization data was used to generate mean and mode xy data and localization counts (referred to as number of localizations in figures).Full width half maximum (FWHM) was m […]


Mitsugumin 29 regulates t tubule architecture in the failing heart

Sci Rep
PMCID: 5509714
PMID: 28706255
DOI: 10.1038/s41598-017-05284-2
call_split See protocol

[…] cence was performed using primary antibodies against Mg29 (Sigma-Aldrich, St. Louis, MO, USA) and RyR2 (Abcam, Cambridge, United Kingdom). Super-resolution processing of images was accomplished using super-resolution radial fluctuations (SRRF) and ImageJ (U. S. National Institutes of Health, Bethesda, MD, USA). For t-tubule imaging experiments, adult cardiac myocytes isolated from mice between 12– […]


Eigen analysis reveals components supporting super resolution imaging of blinking fluorophores

Sci Rep
PMCID: 5493635
PMID: 28667336
DOI: 10.1038/s41598-017-04544-5

[…] ching (3B), stochastic optical reconstruction microscopy (STORM), photo-activated localization microscopy (PALM), , spatial covariance reconstructive (SCORE) super-resolution fluorescence microscopy, super-resolution radial fluctuations (SRRF), and multiple signal classification algorithm (MUSICAL). While imaging, the number of emissions from an emitter during one frame stochastically varies from […]


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SRRF institution(s)
MRC-Laboratory for Molecular Cell Biology. University College London, London, UK; Department of Cell and Developmental Biology, University College London, London, UK; The Francis Crick Institute, London, UK; Centre for Mathematics and Physics in Life Sciences and Experimental Biology (CoMPLEX), University College London, London, UK; Aix-Marseille Univ, CNRS, INP, Inst Neurophysiopathol, NeuroCyto, Marseille, France; Institute for the Physics of Living Systems, University College London, London, UK; Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, Stockholm, Sweden
SRRF funding source(s)
Supported by grants from the UK Biotechnology and Biological Sciences Research Council (BB/M022374/1; BB/P027431/1; BB/R000697/1; BB/S507532/1) the UK Medical Research Council (MR/K015826/1), the Wellcome Trust (203276/Z/16/Z), Core funding to the MRC Laboratory for Molecular Cell Biology, University College London (MC_UU12018/7), the European Research Council (649101-UbiProPox) and the Centre National de la Recherche Scientifique (CNRS ATIP-AVENIR program AO2016), the Engineering and Physical Sciences Research Council (EP/L504889/1) a PhD fellowship from the UK’s Biotechnology and Biological Sciences Research Council, the UCL, the Cancer Research UK (C1529/A17343), BBSRC (BB/P001440/1) and MRC (MC_CF12266).

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