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Oct 17, 2019 · We have illustrated the proposal using a quite straightforward cellular automata model, applied it to simulating cells with different growth rates, within a selected set of microsystem designs ...
- Julia Ballesteros Hernando, Milagros Ramos Gómez, Andrés Díaz Lantada
- 2019
Oct 17, 2019 · We illustrate the proposal using a quite straightforward cellular automata model, apply it to simulating cells with different growth rates, within a selected set of microsystem designs, and validate it by tuning the growth rates with the support of cell culture experiments and by checking the results with a real microfluidic system.
In recent years, grid-shaped cellular models have gained popularity in this sense. Cellular Automata (CA) have been widely used with these purposes. The Cell-DEVS formalism is an extension to CA that can be used to build discrete-event cell spaces, improving their definition by making the timing specification more expressive.
Oct 17, 2019 · We have illustrated the proposal using a quite straightforward cellular automata model, applied it to simulating cells with different growth rates, within a selected set of microsystem designs, and validated our approach by tuning the growth rates of different cell types with the support of cell culture experiments and by checking the results with a real organ-on-a-chip system.
- Julia Ballesteros Hernando, Milagros Ramos Gómez, Andrés Díaz Lantada
- 10.1038/s41598-019-51494-1
- 2019
- Sci Rep. 2019; 9: 14886.
Feb 11, 2020 · Other cells are “dead” or empty and have their state vector values explicitly set to 0.0 at each time step. Thus cells with \alpha > 0.1 α> 0.1 can be thought of as “mature”, while their neighbors with \alpha \leq 0.1 α ≤ 0.1 are “growing”, and can become mature if their alpha passes the 0.1 threshold.
- Alexander Mordvintsev, Ettore Randazzo, Eyvind Niklasson, Michael Levin
- 2020
Dec 23, 2019 · The fundamental elements of urban CA models are: (a) individual spatial units (i.e. cells) defined by their location (i.e. cell space); (b) geometry (i.e. shape of the cells on a grid, which can be regular or irregular); (c) attributes (i.e. the state of cells; for instance, land use type) that evolve through time and over space; and (d) a set of specified rules governing the transition of ...
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Jan 1, 2013 · A cellular automaton (plural cellular automata) is a discrete model originally theoretical, but now implemented in disciplines from physics to biology, geography to ecology, and computer science to regional science. CA have been defined as “discrete spatio-temporal dynamic systems based on local rules” (Miller 2009).
