Single Particle Tracking: From Theory to Biophysical Applications

Shen, Hao; Tauzin, Lawrence J.; Baiyasi, Rashad; Wang, Wenxiao; Moringo, Nicholas A.; Shuang, Bo; Landes, Christy F.

doi:10.1021/acs.chemrev.6b00815

Cited by 450 publications

(421 citation statements)

References 337 publications

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“…[41,42] These imaging methods can reveal single NP dynamics in solution, but the experiment setups are complicated and expensive. In recent years, individual insulating NPs have been investigated by novel optical methods, such as surface plasmon resonance imaging (SPRi) microscopy and super-resolution fluorescence microscopy.…”

Section: Discussionmentioning

confidence: 99%

Probing Dynamic Events of Dielectric Nanoparticles by a Nanoelectrode‐Nanopore Nanopipette

et al. 2018

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In recent years, various single-entity electrochemical methods have been developed to study the dynamic events of single nanoparticles (NPs) in solution. It has been demonstrated that the assembly, transport, and translocation of metallic NPs near a nanopore entrance can be detected based on the open-circuit potential change of a floating nanoelectrode placed near the nanopore. In this study, we applied the nanopore-nanoelectrode-based method to study polystyrene (PS) NPs with various sizes, which were used as the model dielectric NPs. Furthermore, by utilizing dielectrophoretic (DEP) force applied through the nanoelectrode, PS NPs can be efficiently preconcentrated to form large assemblies outside the nanopipette tip, enabling high-throughput single NP analysis. We revealed how the interactions between NPs and between the NP and the nanopore surface affected the current and potential signals. We investigated the dynamic structures and motions of PS NPs inside the large assembly based on the complementary and correlated the ionic current and potential signals from both the nanopore and the nanoelectrode. We also compared the difference in the dynamic events between polarizable metallic NPs and non-polarizable dielectric NPs during multi-NP structure formation and individual NP transport and translocation motions.

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Section: Discussionmentioning

confidence: 99%

Probing Dynamic Events of Dielectric Nanoparticles by a Nanoelectrode‐Nanopore Nanopipette

et al. 2018

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“…Recently, researchers have made and promoted remarkable progress toward improving experimental techniques for investigating diffusive processes, mainly illustrated by the developments in the single-particle tracking technique [36][37][38][39]. Such improvements yield novel insights into transport properties of biological systems [40][41][42] and nanomaterials [43][44][45], where the high-resolution of the experiments has found different diffusive behaviors depending on the time scale. In this context, an important question is whether other forms of fractional differential operators (replacing the Riemann-Liouville one) such as those recently-proposed with non-singular kernels [46][47][48][49][50][51] are suitable to describe the aforementioned situations.…”

Section: Introductionmentioning

confidence: 99%

The Role of Fractional Time-Derivative Operators on Anomalous Diffusion

2017

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The generalized diffusion equations with fractional order derivatives have shown be quite efficient to describe the diffusion in complex systems, with the advantage of producing exact expressions for the underlying diffusive properties. Recently, researchers have proposed different fractional-time operators (namely: the Caputo-Fabrizio and Atangana-Baleanu) which, differently from the well-known Riemann-Liouville operator, are defined by non-singular memory kernels. Here we proposed to use these new operators to generalize the usual diffusion equation. By analyzing the corresponding fractional diffusion equations within the continuous time random walk framework, we obtained waiting time distributions characterized by exponential, stretched exponential, and power-law functions, as well as a crossover between two behaviors. For the mean square displacement, we found crossovers between usual and confined diffusion, and between usual and sub-diffusion. We obtained the exact expressions for the probability distributions, where non-Gaussian and stationary distributions emerged. This former feature is remarkable because the fractional diffusion equation is solved without external forces and subjected to the free diffusion boundary conditions. We have further shown that these new fractional diffusion equations are related to diffusive processes with stochastic resetting, and to fractional diffusion equations with derivatives of distributed order. Thus, our results suggest that these new operators may be a simple and efficient way for incorporating different structural aspects into the system, opening new possibilities for modeling and investigating anomalous diffusive processes.

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“…Special fluorescing tags attached on molecules are tracked and digital image processing tools allow nanometer (nm) resolution in positioning. Image processing methods and algorithms are developed in significantly many studies for particle and cell tracking in microscopic platforms [22,23]. However, there are important challenges for collection capability and analyzing high complexity imaging data.…”

Section: Microfluidic Applicationsmentioning

confidence: 99%

Graphene-Based Acousto-Optic Sensors with Vibrating Resonance Energy Transfer and Applications

Gülbahar¹,

Memişoğlu²

2018

Two-Dimensional Materials for Photodetector

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Graphene as a two-dimensional planar material has numerous advantages for realizing highperformance nano-electromechanical systems (NEMS) such as nanoscale sensors including strain sensors, optical modulators or energy harvesters. Large Young's modulus (1 TPa for single layer graphene), ultra-low weight, low residual stress and large breaking strength properties are important properties as two-dimensional (2D) ultrathin resonators. Graphene resonators are recently utilized for low complexity design of nanoscale acousto-optic sensors based on a novel theoretical model describing vibrating Förster resonance energy transfer (VFRET) mechanism. Proposed system combines the advantages of graphene with quantum dots (QDs) as donor and acceptor pairs with broad absorption spectrum, large cross-sections, tunable emission spectra, size-dependent emission wavelength, high photochemical stability and improved quantum yield. Device structure supporting wide-band resonance frequencies including acoustic and ultrasound ranges promises high-performance applications for challenging environments. Remote sensors and acousto-optic communication channels are formed for in-body applications, wireless body area sensor networks (WBASNs), space and interplanetary systems, microfluidics and visible light communication (VLC)-based architectures.

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Single Particle Tracking: From Theory to Biophysical Applications

Cited by 450 publications

References 337 publications

Probing Dynamic Events of Dielectric Nanoparticles by a Nanoelectrode‐Nanopore Nanopipette

Probing Dynamic Events of Dielectric Nanoparticles by a Nanoelectrode‐Nanopore Nanopipette

The Role of Fractional Time-Derivative Operators on Anomalous Diffusion

Graphene-Based Acousto-Optic Sensors with Vibrating Resonance Energy Transfer and Applications

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