Fluorescence correlation spectroscopy (FCS) is a relatively recent technique in which the diffusion coefficient of fluorescently labeled molecules can be determined. The change in diffusion behavior when these molecules interact with others can also be used to study interactions in solution. A new statistical method is proposed to analyze FCS measurements that cannot be evaluated with a classical autocorrelation function, which is normally used to analyze FCS data. It applies to binding studies where one of the interacting particles has a much brighter fluorescence intensity with respect to the other, which causes high fluorescence bursts whenever these molecules are detected. This biases the autocorrelation function, making it in most cases impossible to use this function as a fitting equation. Here, a statistical approach is used to quantify the amount of fluorescence found in bursts, thereby enabling to perform binding studies in cases where the fluorescence per molecule of both interacting species differs greatly. The method is demonstrated on a system of known composition, making it a promising tool for future FCS measurements. 相似文献
Fluorescence correlation spectroscopy (FCS) has been widely used to investigate molecular diffusion behavior in various samples. The use of the maximum entropy method (MEM) for FCS data analysis provides a unique means to determine multiple distinct diffusion coefficients without a priori assumption of their number. Comparison of the MEM-based FCS method (MEM-FCS) with another method will reveal its utility and advantage as an analytical tool to investigate diffusion dynamics. Herein, we measured diffusion of fluorescent probes doped into nanostructured thin films using MEM-FCS, and validated the results with single molecule tracking (SMT) data. The efficacy of the MEM code employed was first demonstrated by analyzing simulated FCS data for systems incorporating one and two diffusion modes with broadly distributed diffusion coefficients. The MEM analysis accurately afforded the number of distinct diffusion modes and their mean diffusion coefficients. These results contrasted with those obtained by fitting the simulated data to conventional two-component and anomalous diffusion models, which yielded inaccurate estimates of the diffusion coefficients. Subsequently, the MEM analysis was applied to FCS data acquired from hydrophilic dye molecules incorporated into microphase-separated polystyrene-block-poly(ethylene oxide) (PS-b-PEO) thin films characterized under a water-saturated N2 atmosphere. The MEM analysis revealed distinct fast and slow diffusion components attributable to molecules diffusing on the film surface and inside the film, respectively. SMT studies of the same materials yielded trajectories for mobile molecules that appear to follow the curved PEO microdomains. Diffusion coefficients obtained from the SMT data were consistent with those obtained for the slow diffusion component detected by MEM-FCS. These results highlight the utility of MEM-FCS and SMT for gaining complementary information on molecular diffusion processes in heterogeneous material systems.
Fluorescence correlation spectroscopy (FCS) is a powerful tool to quantitatively study the diffusion of fluorescently labeled molecules. It allows in principle important questions of macromolecular transport and supramolecular aggregation in living cells to be addressed. However, the crowded environment inside the cells slows diffusion and limits the reservoir of labeled molecules, causing artifacts that arise especially from photobleaching and limit the utility of FCS in these applications. We present a method to compute the time correlation function from weighted photon arrival times, which compensates computationally during the data analysis for the effect of photobleaching. We demonstrate the performance of this method using numerical simulations and experimental data from model solutions. Using this technique, we obtain correlation functions in which the effect of photobleaching has been removed and in turn recover quantitatively accurate mean-square displacements of the fluorophores, especially when deviations from an ideal Gaussian excitation volume are accounted for by using a reference calibration correlation function. This allows quantitative FCS studies of transport processes in challenging environments with substantial photobleaching like in living cells in the future. 相似文献
We propose and experimentally demonstrate a method for measuring liquid phase diffusion based on tilted fiber Bragg grating (TFBG). By monitoring the transmission spectra of the TFBG placed at different positions of the diffusion zone and calculating the normalized area enclosed by the upper and lower envelope curves of the cladding modes, the distribution curves of the glycerol concentration are obtained, according to the experimental calibration formulas between the glycerol concentration and the normalized area. This method can conveniently achieve remote and distributed measurement of the liquid phase diffusion in hostile environment because of its all-fiber structure. 相似文献