2020
DOI: 10.1016/j.bpj.2020.07.013
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Anomalous Diffusion Characterization by Fourier Transform-FRAP with Patterned Illumination

Abstract: Fourier transform fluorescence recovery after photobleaching (FT-FRAP) with patterned illumination is theorized and demonstrated for quantitatively evaluating normal and anomalous diffusion. Diffusion characterization is routinely performed to assess mobility in cell biology, pharmacology, and food science. Conventional FRAP is noninvasive, has low sample volume requirements, and can rapidly measure diffusion over distances of a few micrometers. However, conventional point-bleach measurements are complicated b… Show more

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Cited by 19 publications
(30 citation statements)
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“…Numerous FRAP methods have been proposed to evaluate the complex turnover in a normal diffusion-driven case (8)(9)(10)(11)(12), anomalous diffusion-driven case (13)(14)(15)(16), chemical reactiondriven case (4, 5), and diffusion-reaction case (4,7,17). However, because of the current lack of appropriate FRAP methods, the "long-term" turnover driven by stress fiber-associated active dynamics that include both intracellular bulk-like flow and microscopic structural deformation remains highly elusive.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Numerous FRAP methods have been proposed to evaluate the complex turnover in a normal diffusion-driven case (8)(9)(10)(11)(12), anomalous diffusion-driven case (13)(14)(15)(16), chemical reactiondriven case (4, 5), and diffusion-reaction case (4,7,17). However, because of the current lack of appropriate FRAP methods, the "long-term" turnover driven by stress fiber-associated active dynamics that include both intracellular bulk-like flow and microscopic structural deformation remains highly elusive.…”
Section: Discussionmentioning
confidence: 99%
“…The diffusion coefficient is then pragmatically estimated by considering the size of the bleached region and the time constant (8) or more accurately by analyzing the spatiotemporal fluorescence profile with a diffusion equation instead of single exponential functions (9)(10)(11)(12). For more complicated cases with anomalous diffusion, fractional diffusion equation (13), alternative point FRAP (14), computational framework (15), and Fourier transform-FRAP with patterned photobleaching (16) have been developed to evaluate the effect of intracellular molecular crowding. Moreover, in a mixed case where diffusive molecules associate and dissociate with their reaction partners, mathematical models considering reaction-diffusion equations (4,17,18), FRAP combined with fluorescence correlation spectroscopy (19), and FRAP combined with genetic manipulation (7) have been developed to separately determine the diffusion coefficient and binding kinetics.…”
Section: Introductionmentioning
confidence: 99%
“…35 Comparisons of Figure 4B and 4D indicate clear structural similarities between the phaseseparated domains corresponding to ritonavir as identified by F-PTIR spectroscopy with those producing native TPE-UVF in the absence of a fluorescent marker. Spatial Fourier transform fluorescence recovery after photobleaching experiments (FT-FRAP) following Geiger et al 36 confirm fluidity within the two phase-separated domains, with ∟3-fold lower viscosity within the brightly fluorescent domains (see Supporting Information for details).…”
mentioning
confidence: 83%
“…Spatial Fourier transform fluorescence recovery after photobleaching experiments (FT-FRAP) following Geiger et al confirm fluidity within the two phase-separated domains, with ∟3-fold lower viscosity within the brightly fluorescent domains (see Supporting Information for details).…”
mentioning
confidence: 99%
“…The ability of LiFT-FRAP to discriminate between different models of diffusion, such as anomalous diffusion, was not explored in this study. However, given the successful demonstration of the spatial Fourier analysis method for simultaneous measurement of both normal diffusion and binding rate in 2D 64 , 65 , our method could be extended to quantify more complex 3D diffusion behaviors in the future.…”
Section: Discussionmentioning
confidence: 99%