Kinetics of colloidal fractal aggregation by differential dynamic microscopy

Ferri, F.; D’Angelo, A.; Lee, M.; Lotti, Antonio; Pigazzini, Marta C.; Singh, Kanwarpal; Cerbino, Roberto

doi:10.1140/epjst/e2011-01509-9

Cited by 31 publications

(31 citation statements)

References 18 publications

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“…15 From DDM, it is possible to obtain the same dynamical correlation function measured in dynamic light scattering as a function of wave vector (q) space in systems that are not compatible with DLS, and using smaller sample volumes. Since its original development, DDM has been successfully used to measure particle diffusivity, 16 particle velocity, 17 colloidal aggregation and gelation kinetics, 18,19 bacterial motility, [20][21][22][23] hydrodynamic factors in concentrated colloidal dispersions, 21 viscoelasticity of liquid crystals, 24 and anisotropic particle motion. 25 It has also been adapted for use in texture analysis microscopy.…”

Section: Introductionmentioning

confidence: 99%

“…To date, differential dynamic analysis has been successfully applied to bright-field, [16][17][18][19]22,28 fluorescence, 16 confocal, 21 , polarised, 24 and phase-contrast 20,23,25 forms of microscopy. One widely used imaging mode that is not included in this list is darkfield microscopy, the illumination system for which is depicted in Fig.…”

Section: Introductionmentioning

confidence: 99%

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Dark-field differential dynamic microscopy

2016

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Differential dynamic microscopy (DDM) is an emerging technique to measure the ensemble dynamics of colloidal and complex fluid motion using optical microscopy in systems that would otherwise be difficult to measure using other methods. To date, DDM has successfully been applied to linear space invariant imaging modes including bright-field, fluorescence, confocal, polarised, and phase-contrast microscopy to study diverse dynamic phenomena. In this work, we show for the first time how DDM analysis can be extended to dark-field imaging, i.e. a linear space variant (LSV) imaging mode. Specifically, we present a particle-based framework for describing dynamic image correlations in DDM, and use it to derive a correction to the image structure function obtained by DDM that accounts for scatterers with non-homogeneous intensity distributions as they move within the imaging plane. To validate the analysis, we study the Brownian motion of gold nanoparticles, whose plasmonic structure allows for nanometer-scale particles to be imaged under dark-field illumination, in Newtonian liquids. We find that diffusion coefficients of the nanoparticles can be reliably measured by dark-field DDM, even under optically dense concentrations where analysis via multiple-particle tracking microrheology fails. These results demonstrate the potential for DDM analysis to be applied to linear space variant forms of microscopy, providing access to experimental systems unavailable to other imaging modes.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Dark-field differential dynamic microscopy

2016

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“…DDM has two key advantages: first, it yields measurements of the dynamics of particles whose size is smaller than the optical resolution limit [18,19]; second, its simplest implementation requires only a standard optical microscope, incoherent (white light) illumination, and a digital video camera, although extensions to fluorescence [19] and confocal [20] microscopy add specificity and resolution. As a result, this method has been used to characterize the dynamics of monodisperse spherical [21] and anisotropic [22][23][24] nanoparticles and bacteria [25][26][27] in complex geometries [28,29]. Despite these achievements, two factors currently limit the use of DDM for nanoscale biological particles.…”

Section: Introductionmentioning

confidence: 99%

Differential dynamic microscopy of weakly scattering and polydisperse protein-rich clusters

et al. 2015

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Nanoparticle dynamics impact a wide range of biological transport processes and applications in nanomedicine and natural resource engineering. Differential dynamic microscopy (DDM) was recently developed to quantify the dynamics of submicron particles in solutions from fluctuations of intensity in optical micrographs. Differential dynamic microscopy is well established for monodisperse particle populations, but has not been applied to solutions containing weakly scattering polydisperse biological nanoparticles. Here we use bright-field DDM (BDDM) to measure the dynamics of protein-rich liquid clusters, whose size ranges from tens to hundreds of nanometers and whose total volume fraction is less than 10(-5). With solutions of two proteins, hemoglobin A and lysozyme, we evaluate the cluster diffusion coefficients from the dependence of the diffusive relaxation time on the scattering wave vector. We establish that for weakly scattering populations, an optimal thickness of the sample chamber exists at which the BDDM signal is maximized at the smallest sample volume. The average cluster diffusion coefficient measured using BDDM is consistently lower than that obtained from dynamic light scattering at a scattering angle of 90°. This apparent discrepancy is due to Mie scattering from the polydisperse cluster population, in which larger clusters preferentially scatter more light in the forward direction.

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“…A first notable feature of DDM is that it can be implemented with a variety of imaging contrast mechanisms that can operate in various conditions of signal-to-noise ratio, resolution needs and multiple scattering. Since its introduction about ten years ago, DDM was used to study colloids in bright-field [35][36][37][38][39][40][41], phase-contrast [42], dark-field [43,44] and depolarized [45] microscopy. It has also been demonstrated with fluorescent particles in wide-field [36,46,47], confocal [48,49] and lightsheet [50,51] configurations.…”

Section: Digital Fourier Microscopy Of Colloids: Quantitative Microscmentioning

confidence: 99%

Quantitative optical microscopy of colloids: The legacy of Jean Perrin

Cerbino

2018

Current Opinion in Colloid & Interface Science

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When the discontinuous structure of matter was yet an intriguing hypothesis, Jean Perrin performed a set of elegant and pioneering experiments that marked the birth of what today we consider quantitative optical microscopy. Picking up the baton from Perrin, today microscopists face incredible challenges, aiming to extract quantitative information from the increasingly content-rich and complex images made available by modern microscopy techniques. Here, I provide an overview of these challenges and describe the solutions adopted to succeed in this complex task when investigating colloidal systems or systems in which colloidal particles are embedded as microrheological probes.

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Kinetics of colloidal fractal aggregation by differential dynamic microscopy

Cited by 31 publications

References 18 publications

Dark-field differential dynamic microscopy

Dark-field differential dynamic microscopy

Differential dynamic microscopy of weakly scattering and polydisperse protein-rich clusters

Quantitative optical microscopy of colloids: The legacy of Jean Perrin

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