ArticleBiophysical journal1995
Analysis of simulated and experimental fluorescence recovery after photobleaching. Data for two diffusing components.
Article in Biophysical journal, 1995. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Characterising C-X-C Chemokine Receptor 4 Dynamics in the Cell Membrane Using Fluorescence Fluctuation Spectroscopy.Biomolecules · 2026Article
- Improved FRAP Measurements on Biofilms.Biophysical journal · 2020Article
- FRAP to Characterize Molecular Diffusion and Interaction in Various Membrane Environments.PloS one · 2016Article
- Fluorescence recovery after photobleaching investigation of protein transport and exchange in chromatographic media.Journal of chromatography. A · 2014Article
- Photobleaching methods to study Golgi complex dynamics in living cells.Methods in cell biology · 2013Article
- Fluorescence techniques to study lipid dynamics.Cold Spring Harbor perspectives in biology · 2011Review
- Convolution-based one and two component FRAP analysis: theory and application.European biophysics journal : EBJ · 2009Article
- Micro- and macrorheology of mucus.Advanced drug delivery reviews · 2009Review
- A method improving the accuracy of fluorescence recovery after photobleaching analysis.Biophysical journal · 2008Article
- Line FRAP with the confocal laser scanning microscope for diffusion measurements in small regions of 3-D samples.Biophysical journal · 2007Article
- Fluorescence recovery under decaying photobleaching irradiation: concept and experiment.Journal of fluorescence · 2006Article
- Lateral diffusion anisotropy and membrane lipid/skeleton interaction in outer hair cells.Biophysical journal · 2006Article
- In vivo resolution of oligomers with fluorescence photobleaching recovery histograms.Cell stress & chaperones · 2006Article
- A two-photon FRAP analysis of the cytoskeleton dynamics in the microvilli of intestinal cells.Biophysical journal · 2005Article
- Three-dimensional fluorescence recovery after photobleaching with the confocal scanning laser microscope.Biophysical journal · 2003Article
- Anomalous subdiffusion in fluorescence photobleaching recovery: a Monte Carlo study.Biophysical journal · 2001Article
- Tracking single proteins within cells.Biophysical journal · 2000Article
- Fluorescence recovery after photobleaching: a versatile tool for mobility and interaction measurements in pharmaceutical research.Pharmaceutical research · 1999Review
- Resolution of fluorescence correlation measurements.Biophysical journal · 1999Article
- Analysis of fluorophore diffusion by continuous distributions of diffusion coefficients: application to photobleaching measurements of multicomponent and anomalous diffusion.Biophysical journal · 1998Article
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Authors and funding
4 authors.
Funding
Abstract
Fluorescence recovery after photobleaching has been a popular technique to quantify the lateral mobility of membrane components. A variety of analysis methods have been used to determine the lateral diffusional mobility, D. However, many of these methods suffer from the drawbacks that they are not able to discern two-component diffusion (i.e., three-point fit), cannot solve for two components (linearization procedures), and do not perform well at low signal-to-noise. To overcome these limitations, we have adopted the approach of fitting fluorescence recovery after photobleaching curves by the full series solution using a Marquardt algorithm. Using simulated data of one or two diffusing components, determinations of the accuracy and reliability of the method with regard to extraction of diffusion parameters and the differentiation of one- versus two-component recovery curves were made under a variety of conditions comparable with those found in actual experimental situations. The performance of the method was also examined in experiments on artificial liposomes and fibroblast membranes labeled with fluorescent lipid and/or protein components. Our results indicate that: 1) the method was capable of extracting one- and two-component D values over a large range of conditions; 2) the D of a one-component recovery can be measured to within 10% with a small signal (100 prebleach photon counts per channel); 3) a two-component recovery requires more than 100-fold greater signal level than a one-component recovery for the same error; and 4) for two-component fits, multiple recovery curves may be needed to provide adequate signal to achieve the desired level of confidence in the fitted parameters and in the differentiation of one- and two-component diffusion.
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