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Stochastic modeling of growth processes of bacteria colony and simulation studies

机译:细菌菌落生长过程的随机建模和模拟研究

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In the various fields of engineering including fluid, chemical, and biological engineering, we will observe many kinds of spatio-temporal patterns. For example, in the Belouzov-Zhabotinsky reaction, a target and a spiral ones are observed, which denote spatio-temporal oscillation of concentration of chemical substances. The analyses of such patterns are important problems of engineering. Up to date, excellent works in analyses of pattern formations have been performed, however, models in such analyses were considered in a deterministic framework. So, we cannot analyze influence of disturbances such as impurities in chemical substances and unexpected change of environmental situations on pattern formations using such deterministic models. In this paper, focusing our attention on the bacteria colony patterns and taking disturbances into consideration, we will propose the stochastic model of the growth processes of bacteria called Bacillus subtilis and study influence of disturbances on created bacteria patterns through simulation experiments.
机译:在流体,化学和生物工程等各个工程领域中,我们将观察到多种时空模式。例如,在Belouzov-Zhabotinsky反应中,观察到一个目标和一个螺旋目标,表示化学物质浓度的时空振荡。对这种模式的分析是工程学的重要问题。迄今为止,已经在图案形成分析中进行了出色的工作,但是,在确定性框架内考虑了这种分析中的模型。因此,我们无法使用这种确定性模型来分析化学物质中的杂质和环境状况的意外变化等干扰因素对图案形成的影响。在本文中,我们将注意力集中在细菌菌落模式上,并考虑干扰因素,我们将提出一种名为枯草芽孢杆菌的细菌生长过程的随机模型,并通过模拟实验研究干扰因素对创建的细菌模式的影响。

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