A new approach for analyzing particle motion near an interface using total internal reflection microscopy

Oetama, Ratna J.; Walz, John Y.

doi:10.1016/j.jcis.2004.09.058

Cited by 32 publications

(34 citation statements)

References 21 publications

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“…Thus, an ensemble data of particle displacement measurements over a known time interval t would allow the determination of the value of the diffusion coefficient, D. The diffusion coefficient can also be separately estimated from the Stokes-Einstein equation, based on the effective size of the particle. The experimental measurement of the diffusion coefficient of particles typically relies on methods such as Taylor-Aris dispersion (Belongia & Baygents 1997), spin-echo NMR (Dunlop, Harris & Young 1992), dynamic light scattering (Dunlop et al 1992) and total internal reflection microscopy (Bevan & Prieve 2000;Banerjee & Kihm 2005;Oetama & Walz 2005;Huang & Breuer 2007). Direct optical methods based on tracking the motion of individual particles have been receiving increased attention, in particular where the problem of study involves measuring a spatially varying diffusion, such as hindered diffusion of particles near surfaces (Bevan & Prieve 2000;Banerjee & Kihm 2005;Oetama & Walz 2005;Huang & Breuer 2007;Kazoe & Yoda 2011) and particle motion in living cells (Gelles, Schnapp & Sheetz 1988;Qian, Sheetz & Elson 1991).…”

Section: Introductionmentioning

confidence: 99%

“…The experimental measurement of the diffusion coefficient of particles typically relies on methods such as Taylor-Aris dispersion (Belongia & Baygents 1997), spin-echo NMR (Dunlop, Harris & Young 1992), dynamic light scattering (Dunlop et al 1992) and total internal reflection microscopy (Bevan & Prieve 2000;Banerjee & Kihm 2005;Oetama & Walz 2005;Huang & Breuer 2007). Direct optical methods based on tracking the motion of individual particles have been receiving increased attention, in particular where the problem of study involves measuring a spatially varying diffusion, such as hindered diffusion of particles near surfaces (Bevan & Prieve 2000;Banerjee & Kihm 2005;Oetama & Walz 2005;Huang & Breuer 2007;Kazoe & Yoda 2011) and particle motion in living cells (Gelles, Schnapp & Sheetz 1988;Qian, Sheetz & Elson 1991). Single-particle tracking promises a higher spatial resolution and, when combined with the benefit of a thin (usually 100-300 nm) evanescent wave illumination region near a surface, allows imaging of small particles with high signal-to-noise ratio (Zettner & Yoda 2003;Jin et al 2004;Sadr et al 2004;Pouya et al 2005).…”

Section: Introductionmentioning

confidence: 99%

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Effect of finite sampling time on estimation of Brownian fluctuation

2015

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We present a study of the effect of finite detector integration/exposure time E, in relation to interrogation time interval t, on analysis of Brownian motion of small particles using numerical simulation of the Langevin equation for both free diffusion and hindered diffusion near a solid wall. The simulation result for free diffusion recovers the known scaling law for the dependence of estimated diffusion coefficient on E/ t, i.e. for 0 E/ t 1 the estimated diffusion coefficient scales linearly as 1 − (E/ t)/3. Extending the analysis to the parameter range E/ t 1, we find a new nonlinear scaling behaviour given by (E/ t) −1 [1 − ((E/ t) −1 )/3], for which we also provide an exact analytical solution. The simulation of near-wall diffusion shows that hindered diffusion of particles parallel to a solid wall, when normalized appropriately, follows with a high degree of accuracy the same form of scaling laws given above for free diffusion. Specifically, the scaling laws in this case are well represented by 1 − ((1 + )(E/ t))/3, for E/ t 1, and (E/ t) −1 [1 − ((1 + )(E/ t) −1 )/3], for E/ t 1, where the small parameter depends on the size of the near-wall domain used in the estimation of the diffusion coefficient and value of E. For the range of parameters reported in the literature, we estimate < 0.03. The near-wall simulations also show a bias in the estimated diffusion coefficient parallel to the wall even in the limit E = 0, indicating an overestimation which increases with increasing time delay t. This diffusion-induced overestimation is caused by the same underlying mechanism responsible for the previously reported overestimation of mean velocity in near-wall velocimetry.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Effect of finite sampling time on estimation of Brownian fluctuation

2015

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“…We propose to exploit particle-induced light scattering in an optical evanescent field to extract detailed information on binding in a biosensor system. The use of an evanescent field to measure the height of particles near a surface was introduced by Prieve et al (1987Prieve et al ( , 1999 and has mainly been used to study the kinetics and scattering properties of unbound particles near a surface (Sholl et al 2000, Banerjee and Kihm 2005, Blickle et al 2005, Oetama and Walz 2005. Blumberg et al (2005) have shown that an evanescent field can be used to measure the three-dimensional mobility of fluorescent polystyrene particles in tethered particle motion experiments, with tether lengths of 0.4-0.5 µm.…”

Section: Introductionmentioning

confidence: 99%

Mobility and height detection of particle labels in an optical evanescent wave biosensor with single-label resolution

Ommering¹,

Somers²,

Koets³

et al. 2010

J. Phys. D: Appl. Phys.

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Van Ijzendoorn, et al.. Mobility and height detection of particle labels in an optical evanescent wave biosensor with singlelabel resolution. Journal of Physics D: Applied Physics, IOP Publishing, 2010, 43 (15) AbstractParticle labels are used in biosensors to detect the presence and concentration of analyte molecules. In this paper we demonstrate an optical technique to measure the mobility and height of bound particle labels on a biosensor surface with single-label resolution. The technique is based on the detection of the particle-induced light scattering in an optical evanescent field. We show that the thermal particle motion in the evanescent optical field leads to intensity fluctuations that can accurately be detected. The technique is demonstrated using 290 bp (99 nm) DNA as an analyte, and using polystyrene particles and magnetic particles with diameters between 500 nm and 1000 nm as labels. The particle intensity histograms show that quantitative height measurements are obtained for particles with uniform optical properties, and the intensity versus position plots reflect the analyte-antibody orientation and the analyte flexibility. The novel optical detection technique will lead to biosensors with very high sensitivity and specificity.

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“…[33][34][35] The theoretical predictions have been experimentally verified, in part, for large colloidal particles. [36][37][38][39][40][41][42][43] In the work described herein, the diffusion coefficients of nine fluorescently labeled antibody fragments, antibodies, and antibody complexes (with hydrodynamic radii ranging from 3 to 24 nm) adjacent to planar supported model membranes were measured by using TIR-FCS. The results show that the local diffusion coefficient decreases with the hydrodynamic radius, over and above that predicted by the Stokes-Einstein equation describing diffusion in bulk solution, and in a manner consistent with theoretical predictions according to hydrodynamic theories describing particle motions next to walls.…”

Section: Introductionmentioning

confidence: 99%

Size Dependence of Protein Diffusion Very Close to Membrane Surfaces: Measurement by Total Internal Reflection with Fluorescence Correlation Spectroscopy

2006

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The diffusion coefficients of nine fluorescently labeled antibodies, antibody fragments, and antibody complexes have been measured in solution very close to supported planar membranes by using total internal reflection with fluorescence correlation spectroscopy (TIR-FCS). The hydrodynamic radii (3-24 nm) of the nine antibody types were determined by comparing literature values with bulk diffusion coefficients measured by spot FCS. The diffusion coefficients very near membranes decreased significantly with molecular size, and the size dependence was greater than that predicted to occur in bulk solution. The observation that membrane surfaces slow the local diffusion coefficient of proteins in a size-dependent manner suggests that the primary effect is hydrodynamic as predicted for simple spheres diffusing close to planar walls. The TIR-FCS data are consistent with predictions derived from hydrodynamic theory. This work illustrates one factor that could contribute to previously observed nonideal ligand-receptor kinetics at model and natural cell membranes.

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A new approach for analyzing particle motion near an interface using total internal reflection microscopy

Cited by 32 publications

References 21 publications

Effect of finite sampling time on estimation of Brownian fluctuation

Effect of finite sampling time on estimation of Brownian fluctuation

Mobility and height detection of particle labels in an optical evanescent wave biosensor with single-label resolution

Size Dependence of Protein Diffusion Very Close to Membrane Surfaces: Measurement by Total Internal Reflection with Fluorescence Correlation Spectroscopy

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