Escherichia coli dynamic growth monitoring method

Abstract

The invention discloses an escherichia coli dynamic growth monitoring method, and provides a method for realizing registration of an escherichia coli colony image and a previous moment image, which comprises the following steps: enabling the angles of the two images to be consistent, obtaining the centroid position of each colony, and further quickly obtaining the number of colonies in a culture dish; each bacterial colony can be positioned, the size and color information of each bacterial colony at the growth moment is counted, the growth speed is calculated according to the culture time, thegrowth stage of each bacterial colony at each time node is judged, and then a growth curve is obtained; according to the method, a regression model is used for predicting the bacterial liquid concentration according to two variable values of bacterial colony delay period time and growth rate in a logarithmic phase, the bacterial liquid concentration is compared with the concentration obtained bya traditional counting method, and error samples in the experiment process are screened out; based on the characteristics of bacterial colony growth, the regression model is established to accuratelypredict the concentration of the escherichia coli liquid, and compared with the traditional counting method which is easily interfered by the external environment, the method is more accurate, and thereliability of the obtained data is higher.

Description

technical field [0001] The invention relates to the field of biomedical image processing, and mainly relates to a method for monitoring and tracking the dynamic growth of Escherichia coli colony to predict the concentration of bacteria liquid. Background technique [0002] Escherichia coli colony analysis plays a basic and important role in food, biological monitoring, medical institutions and other fields. In the field of food hygiene quality testing, it is often used to analyze the content of Escherichia coli that is seriously harmful to the human body contained in the sample. According to the number of bacteria, it can be used as a food quality standard to reflect the freshness and hygiene status. In the medical field, researchers can extract excrement samples from patients, and assist doctors to quickly determine the cause of the patient and the severity of the patient's condition according to the number of relevant E. coli in the sample. [0003] With the development o...

AI Technical Summary

Problems solved by technology

The present invention is based on the growth characteristics of Escherichia coli on a solid medium, adopts the method of tracking parameter regression and analysis of Escherichia coli dynamic growth, and tracks the characteristic values ​​of colony parameters in each growth period in the process of Escherichia coli cultivation in real time, through The extraction of characteristic parameters such as colony diameter, number change, and color moment performs regression analysis on the initial concentration of Escherichia coli. By reducing hardware requirements and reducing costs as much as possible, the problems of cumbersome operation and technical difficulty in the existing technology are solved. At the same time as the analysis, the artificially marked information on the petri dish is identified and checked to ensure the correlation between the obtained colony information and its corresponding markers, and multiple methods are used for counting and calibration to reduce the confusion of output results.

Images