Diffusive Dynamics of Nanoparticles in Arrays of Nanoposts

He, Kai; Khorasani, Firoozeh Babaye; Retterer, Scott T.; Thomas, D. K.; Conrad, Jacinta C.; Krishnamoorti, Ramanan

doi:10.1021/nn4007303

Cited by 103 publications

(113 citation statements)

References 43 publications

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“…For example, arrays of nanoscale posts, spaced from 10 µm to 1 µm apart in a microfluidic slit, are representative of a complex confined medium. 159 As the spacing between posts decreases and confinement increases, the diffusion of the nanoparticles slows and multiple relaxation times emerge, which is consistent with the onset of dynamic heterogeneity and the approach to vitrification.…”

Section: Applicationssupporting

confidence: 65%

Optical tracking of nanoscale particles in microscale environments

Mathai

Liddle

Stavis

2016

Applied Physics Reviews

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The trajectories of nanoscale particles through microscale environments record useful information about both the particles and the environments. Optical microscopes provide efficient access to this information through measurements of light in the far field from nanoparticles. Such measurements necessarily involve trade-offs in tracking capabilities. This article presents a measurement framework, based on information theory, that facilitates a more systematic understanding of such trade-offs to rationally design tracking systems for diverse applications. This framework includes the degrees of freedom of optical microscopes, which determine the limitations of tracking measurements in theory. In the laboratory, tracking systems are assemblies of sources and sensors, optics and stages, and nanoparticle emitters. The combined characteristics of such systems determine the limitations of tracking measurements in practice. This article reviews this tracking hardware with a focus on the essential functions of nanoparticles as optical emitters and microenvironmental probes. Within these theoretical and practical limitations, experimentalists have implemented a variety of tracking systems with different capabilities. This article reviews a selection of apparatuses and techniques for tracking multiple and single particles by tuning illumination and detection, and by using feedback and confinement to improve the measurements. Prior information is also useful in many tracking systems and measurements, which apply across a broad spectrum of science and technology. In the context of the framework and review of apparatuses and techniques, this article reviews a selection of applications, with particle diffusion serving as a prelude to tracking measurements in biological, fluid, and material systems, fabrication and assembly processes, and engineered devices. In so doing, this review identifies trends and gaps in particle tracking that might influence future research.

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Section: Applicationssupporting

confidence: 65%

Optical tracking of nanoscale particles in microscale environments

Mathai

Liddle

Stavis

2016

Applied Physics Reviews

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“…A typical application of DDM is to determine the diffusion constant of colloidal particles dispersed in a liquid medium 11,16,17,26,27 . If the viscosity of the host liquid is known, DDM behaves as a powerful particle sizing tool, in that it enables one determining accurately the size of the colloidal particles.…”

Section: A Viscosity Of Deeply Supercooled Water and Its Coupling Tomentioning

confidence: 99%

Perspective: Differential dynamic microscopy extracts multi-scale activity in complex fluids and biological systems

Cerbino

Cicuta

2017

The Journal of Chemical Physics

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Differential dynamic microscopy (DDM) is a technique that exploits optical microscopy to obtain local, multi-scale quantitative information about dynamic samples, in most cases without user intervention. It is proving extremely useful in understanding dynamics in liquid suspensions, soft materials, cells and tissues. In DDM, image sequences are analyzed via a combination of image differences and spatial Fourier transforms to obtain information equivalent to that obtained by means of light scattering techniques. Compared to light scattering, DDM offers obvious advantages, principally (a) simplicity of setup; (b) possibility of removing static contributions along the optical path; (c) power of simultaneous different microscopy contrast mechanisms; (d) flexibility of choosing an analysis region, analogous to a scattering volume. For many questions, DDM has also advantages compared to segmentation/tracking approaches and to correlation techniques like Particle Image Velocimetry. The very straightforward DDM approach, originally demonstrated with bright field microscopy of aqueous colloids, has lately been used to probe a variety of other complex fluids and biological systems with many different imaging methods, including dark-field, differential interference contrast, wide-field, light-sheet, and confocal microscopy. The number of adopting groups is rapidly increasing and so are the applications. Here, we briefly recall the working principles of DDM, we highlight its advantages and limitations, we outline recent experimental breakthroughs, and we provide a perspective on future challenges and directions. DDM can become a standard primary tool in every laboratory equipped with a microscope, at the very least as a first bias-free automated evaluation of the dynamics in a system.

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“…This feature was exploited in Ref. [71], where the diffusive dynamics of colloidal particles was studied in a landscape made of micro-fabricated arrays of nano-posts of diameter 500 nm, spaced by 1.2-10 µ m on a square lattice.…”

Section: Dynamics Of Colloidal Systemsmentioning

confidence: 99%

Digital Fourier microscopy for soft matter dynamics

Giavazzi¹,

Cerbino²

2014

J. Opt.

175

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Abstract. Soft matter is studied with a large portfolio of methods. Light scattering and video microscopy are the most employed at optical wavelengths. Light scattering provides ensembleaveraged information on soft matter in the reciprocal space. The wave-vectors probed correspond to length scales ranging from a few nanometers to fractions of millimetre. Microscopy probes the sample directly in the real space, by offering a unique access to the local properties. However, optical resolution issues limit the access to length scales smaller than approximately 200 nm. We describe recent work that bridges the gap between scattering and microscopy. Several apparently unrelated techniques are found to share a simple basic idea: the correlation properties of the sample can be characterised in the reciprocal space via spatial Fourier analysis of images collected in the real space. We describe the main features of such Digital Fourier Microscopy (DFM), by providing examples of several possible experimental implementations of it, some of which not yet realised in practice. We also provide an overview of experimental results obtained with DFM for the study of the dynamics of soft materials. Finally, we outline possible future developments of DFM that would ease its adoption as a standard laboratory method.

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Diffusive Dynamics of Nanoparticles in Arrays of Nanoposts

Cited by 103 publications

References 43 publications

Optical tracking of nanoscale particles in microscale environments

Optical tracking of nanoscale particles in microscale environments

Perspective: Differential dynamic microscopy extracts multi-scale activity in complex fluids and biological systems

Digital Fourier microscopy for soft matter dynamics

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