Probing the Spatiotemporal Dynamics of Catalytic Janus Particles with Single-Particle Tracking and Differential Dynamic Microscopy

Kurzthaler, Christina; Devailly, Clémence; Arlt, Jochen; Franosch, Thomas; Poon, Wilson; Martinez, Vincent A.; Brown, A. G.

doi:10.1103/physrevlett.121.078001

Cited by 98 publications

(116 citation statements)

References 68 publications

(77 reference statements)

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“…Single-particle tracking [18] and ensemble-averaged techniques, such as dynamic light scattering (DLS) [19], have been until recently the main techniques used to probe the spatio-temporal dynamics of particle suspensions. Particle tracking in video microscopy, developed for the characterisation of passive colloidal dynamics [18], has been widely applied to study active systems, biological [15,20] and synthetic [11,21]. However, the characterisation of three-dimensional motion, such as helical swimming, with standard imaging microscopy is limited by the tracking depth of the microscope [18].…”

Section: Introductionmentioning

confidence: 99%

“…Also, it has been employed to study biological active matter (e.g. [39,45]) and artificial swimmers in quasi-two-dimensional geometries [21]. However, despite the fact that many of the above artificial and biological swimmers swim helically, to the best of our knowledge, no theoretical expression for the ISFs of helical swimmers has been derived to allow the use of DDM to study their full motion.…”

Section: Introductionmentioning

confidence: 99%

“…ISF for swimmers with back-and-forth and helical swimming motions shown for different values of q. Simulation input values are: m = σ p =26.2 μm s -1 , R=8 μm, f h =2 Hz, A b =2 μm, and f b =50 Hz. Dotted Lines are fits using equation(21) for the back-and-forth model. Thick lines are from global fits using equation(17) for the helical and back-and-forth model.…”

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Helical and oscillatory microswimmer motility statistics from differential dynamic microscopy

et al. 2019

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The experimental characterisation of the swimming statistics of populations of micro-organisms or artificially propelled particles is essential for understanding the physics of active systems and their exploitation. Here, we construct a theoretical framework to extract information on the threedimensional motion of micro-swimmers from the intermediate scattering function (ISF) obtained from differential dynamic microscopy (DDM). We derive theoretical expressions for the ISF of helical and oscillatory breaststroke swimmers, and test the theoretical framework by applying it to video sequences generated from simulated swimmers with precisely-controlled dynamics. We then discuss how our theory can be applied to the experimental study of helical swimmers, such as active Janus colloids or suspensions of motile microalgae. In particular, we show how fitting DDM data to a simple, non-helical ISF model can be used to derive three-dimensional helical motility parameters, which can therefore be obtained without specialised 3D microscopy equipment. Finally, we discus how our results aid the study of active matter and describe applications of biological and ecological importance.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Helical and oscillatory microswimmer motility statistics from differential dynamic microscopy

et al. 2019

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“…through bulk reactions), leading to long-ranged chemical interactions between the colloids. For active colloids [17][18][19][20][21], these interactions have been explored in single-species systems [22][23][24][25][26][27], and more recently also in mixtures [28][29][30][31][32][33][34], where chemical interactions can be nonreciprocal and break action-reaction symmetry [28,35,36]. arXiv:1909.13805v1 [cond-mat.soft] 30 Sep 2019 2 This allows for the formation of active molecules [28][29][30], where self-propulsion spontaneously emerges when the underlying nonmotile 'colloidal atoms' bind together.…”

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Swarm Hunting and Cluster Ejections in Chemically Communicating Active Mixtures

Grauer

Löwen

Be’er

et al. 2020

Sci Rep

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A large variety of microorganisms produce molecules to communicate via complex signaling mechanisms such as quorum sensing and chemotaxis. The biological diversity is enormous, but synthetic inanimate colloidal microswimmers mimic microbiological communication (synthetic chemotaxis) and may be used to explore collective behaviour beyond the one-species limit in simpler setups. In this work we combine particle based and continuum simulations as well as linear stability analyses, and study a physical minimal model of two chemotactic species. We observed a rich phase diagram comprising a "hunting swarm phase", where both species self-segregate and form swarms, pursuing, or hunting each other, and a "core-shell-cluster phase", where one species forms a dense cluster, which is surrounded by a (fluctuating) corona of particles from the other species. Once formed, these clusters can dynamically turn inside out, representing a "species-reversal". These results exemplify a physical route to collective behaviours in microorganisms and active colloids, which are so-far known to occur only for comparatively large and complex animals like insects or crustaceans.Chemotaxis -the movement of organisms in response to a chemical stimulus -allows them to navigate in complex environments, find food and avoid repellants. It is involved in many biological processes where microorganisms (or cells) coordinate their motion; these include wound healing, fertilization, pathogenic invasion of a host, and bacterial colonization [1, 2]. In such cases, microorganisms are attracted (or repelled) by certain substances (chemoattractants/ chemorepellents), but they are also attracted to chemicals produced by other microorganisms (or cells), such as cAMP in the case of Dictyostelium cells [3] or autoinducers in signaling Escherichia coli [4], which leads to chemical interactions (communication) among the microorganisms.While many existing models studying microbiological chemotaxis (or chemical interactions) focus on a single species [5][6][7][8][9][10][11][12], the typical situation in the microbiological habitat is that various different species simultaneously produce certain chemicals to which others respond via chemotaxis or based on quorum sensing mechanisms. One simple example involving chemical signaling across species is provided by macrophage-facilitated breast cancer cell invasion which has recently been modeled [13]. There, tumor cells attract macrophages, which are certain white blood cells normally playing a key role in the human immune system. They then control the physiological function of the macrophages and exploit their abilities. More specifically, the tumor cells produce the colony-stimulating factor (CSF-1) leading to the attraction and growth of macrophages which in turn release epidermal growth factors (EGF) resulting in the growth and mobility increase of the tumor cells (see Fig. 1).Similarly to microorganisms, synthetic inanimate colloids, coated with a material which catalyzes a certain reaction on (a part of) their surfa...

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“…Furthermore, our solution strategy for the partition sum of a semiflexible polymer has exploited that the ensemble of its configurations is identical to the ensemble of trajectories of a single self-propelled agent. In particular, the Fokker-Planck equation, which describes the evolution of the partition sum of a semiflexible polymer as the contour length s increases, can be mapped to the equation of motion for the characteristic function of the random displacements of an active Brownian particle [41,50]. Thus, we anticipate that the elastic properties of a semiflexible polymer with a spontaneous curvature can be worked out by using the mathematical analog of a Brownian circle swimmer [51].…”

Section: Discussionmentioning

confidence: 99%

Elastic behavior of a semiflexible polymer in 3D subject to compression and stretching forces

Kurzthaler

2018

Soft Matter

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We elucidate the elastic behavior of a wormlike chain in 3D under compression and provide exact solutions for the experimentally accessible force-extension relation in terms of generalized spheroidal wave functions. In striking contrast to the classical Euler buckling instability, the force-extension relation of a clamped semiflexible polymer exhibits a smooth crossover from an almost stretched to a buckled configuration. In particular, the associated susceptibility, which measures the strength of the response of the polymer to the applied force, displays a prominent peak in the vicinity of the critical Euler buckling force. For increasing persistence length, the force-extension relation and the susceptibility of semiflexible polymers approach the behavior of a classical rod, whereas thermal fluctuations permit more flexible polymers to resist the applied force. Furthermore, we find that semiflexible polymers confined to 2D can oppose the applied force more strongly than in 3D.

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Probing the Spatiotemporal Dynamics of Catalytic Janus Particles with Single-Particle Tracking and Differential Dynamic Microscopy

Cited by 98 publications

References 68 publications

Helical and oscillatory microswimmer motility statistics from differential dynamic microscopy

Helical and oscillatory microswimmer motility statistics from differential dynamic microscopy

Swarm Hunting and Cluster Ejections in Chemically Communicating Active Mixtures

Elastic behavior of a semiflexible polymer in 3D subject to compression and stretching forces

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