CNN-based trajectory analysis of flagellar bacteria for nanoscale motion control

Nanotechnology finds in flagellar bacteria an uncomparable example of a very efficient and miniaturized motor. This and the complex behaviour of the bacteria colonies growth in a self-organized way make the study of flagellar bacteria very important and appealing for possible applications. This brief paper presents an innovative point of view: instead of designing nanoscale devices the control of flagellar bacteria is an alternative solution for nanoscale problems. For these reasons in this work single bacterium motion and colonies growth have been studied by applying non-linear methods in order to characterize their behaviour and control it. The characterization of the single bacterium motion leads to the conclusion that determinism (due to chemotaxis) is predominant with respect to random terms. This result is confirmed by the possibility of modelling the case study of colonies growth through an activation/inhibition dynamics. Copyright © 2004 John Wiley & Sons, Ltd.