Morphogenesis-inspired two-dimensional electrowetting in droplet networks
Morphogenesis-inspired two-dimensional electrowetting in droplet networks
复制标题
液滴网络中受形态发生启发的二维电润湿
DOI:
10.1088/1748-3190/acc779
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发表时间:
2023
影响因子:
3.4
通讯作者:
Freeman, Eric
中科院分区:
文献类型:
--
作者:
El-Beyrouthy, Joyce;Makhoul-Mansour, Michelle;Gulle, Jesse;Freeman, Eric
Living tissues dynamically reshape their internal cellular structures through carefully regulated cell-to-cell interactions during morphogenesis. These cellular rearrangement events, such as cell sorting and mutual tissue spreading, have been explained using the differential adhesion hypothesis, which describes the sorting of cells through their adhesive interactions with their neighbors. In this manuscript we explore a simplified form of differential adhesion within a bioinspired lipid-stabilized emulsion approximating cellular tissues. The artificial cellular tissues are created as a collection of aqueous droplets adhered together in a network of lipid membranes. Since this abstraction of the tissue does not retain the ability to locally vary the adhesion of the interfaces through biological mechanisms, instead we employ electrowetting with offsets generated by spatial variations in lipid compositions to capture a simple form of bioelectric control over the tissue characteristics. This is accomplished by first conducting experiments on electrowetting in droplet networks, next creating a model for describing electrowetting in collections of adhered droplets, then validating the model against the experimental measurements. This work demonstrates how the distribution of voltage within a droplet network may be tuned through lipid composition then used to shape directional contraction of the adhered structure using two-dimensional electrowetting events. Predictions from this model were used to explore the governing mechanics for complex electrowetting events in networks, including directional contraction and the formation of new interfaces.
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影响因子:
4.6
作者:
Makhoul-Mansour MM;El-Beyrouthy JB;Mao L;Freeman EC
通讯作者:
Freeman EC
影响因子:
17.1
作者:
Cazimoglu I;Booth MJ;Bayley H
通讯作者:
Bayley H
影响因子:
--
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通讯作者:
Bayley, Hagan
影响因子:
15
作者:
Holden, Matthew A.;Needham, David;Bayley, Hagan
通讯作者:
Bayley, Hagan