Microscale Assembly Directed by Liquid‐Based Template

Chen, Pu; Luo, Zhengyuan; Güven, Sinan; Tasoğlu, Savaş; Ganesan, Aravindhan; Weng, Andrew; Demirci, Utkan

doi:10.1002/adma.201402079

Cited by 127 publications

(122 citation statements)

References 25 publications

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“…Various processes have been considered in recent experimental works (Falkovich et al 2005;Sanli et al 2014;Gutiérrez & Aumaître 2016), but a clear evaluation of the dominant effects is still lacking. On the other hand, Faraday waves have been proposed as a way to generate particulate films by deposition of heavy particles (Wright & Saylor 2003) and suspended templates of light particles (Chen et al 2014), where again streaming flows are one key for the arising patterns. In another context, Faraday streaming flows are claimed to play an important role on the dynamics of localised structures, namely in their drift and interaction (Vega et al 2001;Martin et al 2002).…”

Section: Introductionmentioning

confidence: 99%

Streaming patterns in Faraday waves

et al. 2017

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Waves patterns in the Faraday instability have been studied for decades. Besides the rich dynamics that can be observed on the waves at the interface, Faraday waves hide beneath them an elusive range of flow patterns -or streaming patterns-which have not been studied in detail until now. The streaming patterns are responsible for a net circulation in the flow which are reminiscent of convection cells. In this article, we analyse these streaming flows by conducting experiments in a Faraday-wave setup. To visualize the flows, tracers are used to generate both trajectory maps and to probe the streaming velocity field via Particle Image Velocimetry (PIV). We identify three types of patterns and experimentally show that identical Faraday waves can mask streaming patterns that are qualitatively very different. Next we propose a three-dimensional model that explains streaming flows in quasi-inviscid fluids. We show that the streaming inside the fluid arises from a complex coupling between the bulk and the boundary layers. This coupling can be taken into account by applying modified boundary conditions in a three-dimensional Navier-Stokes formulation for the streaming in the bulk. Numerical simulations based on this theoretical framework show good qualitative and quantitative agreement with experimental results. They also highlight the relevance of three-dimensional effects in the streaming patterns. Our simulations reveal that the variety of experimental patterns is deeply linked to the boundary condition at the top interface, which may be strongly affected by the presence of contaminants along the surface.

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Section: Introductionmentioning

confidence: 99%

Streaming patterns in Faraday waves

et al. 2017

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“…These advantages include the ability to create geometrically complex scaffolds containing viable cells [18,19,21], efficiency, low cost [22], high throughput [23], precise reproducibility [18], and limited need for specialized training. High-throughput fabrication of 3D structures is currently limited with traditional microfabrication techniques that generate 2D building blocks and rely on layer-by-layer assembly to form 3D structures [24][25][26][27][28][29][30][31][32]. Current methods for co-culturing multiple cell types in desired configurations lack high-throughput capabilities, demanding multiple labor-intensive fabrication steps [23], but spatial patterning of different cell types or ECM components is possible using various 'bio-inks' for printing [33].…”

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confidence: 99%

Bioprinting for cancer research

Knowlton

Önal

et al. 2015

Trends in Biotechnology

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“…Recently, Chen et al used standing waves at a liquid surface as a template to self-assemble different materials including cell-laden spheroidal hydrogels. The authors confirmed that numerical finite simulations on the drift of energy field could closely predict the self-assembled structures that were experimentally created [78]. The structures can be dynamically rearranged, in timeframes of seconds, by simply changing the operating parameters of the wave generator ( i.e.…”

Section: Spatial Control Of Hydrogelsmentioning

confidence: 65%

Spatially and temporally controlled hydrogels for tissue engineering

Leijten

Seo

Yue

et al. 2017

Materials Science and Engineering: R: Reports

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Summary Recent years have seen tremendous advances in the field of hydrogel-based biomaterials. One of the most prominent revolutions in this field has been the integration of elements or techniques that enable spatial and temporal control over hydrogels’ properties and functions. Here, we critically review the emerging progress of spatiotemporal control over biomaterial properties towards the development of functional engineered tissue constructs. Specifically, we will highlight the main advances in the spatial control of biomaterials, such as surface modification, microfabrication, photo-patterning, and three-dimensional (3D) bioprinting, as well as advances in the temporal control of biomaterials, such as controlled release of molecules, photocleaving of proteins, and controlled hydrogel degradation. We believe that the development and integration of these techniques will drive the engineering of next-generation engineered tissues.

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Microscale Assembly Directed by Liquid‐Based Template

Cited by 127 publications

References 25 publications

Streaming patterns in Faraday waves

Streaming patterns in Faraday waves

Bioprinting for cancer research

Spatially and temporally controlled hydrogels for tissue engineering

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