Research on Automatic Tracking of Bacteria Movement Based on Embedded Systems

Abstract

The traditional culture and monitoring of bacteria is a very complicated task. There are some drawbacks to this task, such as time-consuming, high repeatability requirement, poor observation and even demand forthe extreme environment. However, the automatic tracking could help us avoid these problems. Through image enhancement, expansion, corrosion, binarization, and threshold segmentation of the image obtained by the automated platform, the growth of bacteria in the culture medium was recorded and analyzed in real time. The simulation results showthat the device could continuously record the growth of bacteria for twenty hours accurately, which is more precisethan manual operation. The automation device can improve the effectiveness and uniformity of biological experiments, and significantly reduce the time and economic costs.