Construction Of Water Quality Safety Monitoring System Based On Image Flow Design

Commercial image flow cytometry(FCM)is a popular cell analyzer for cell counting and morphology detection.However,due to the large volume and high cost of FCM,it is not suitable for the simple tasks of real-time identification,classification and counting of algae and bacterial cells in the process of water quality safety monitoring in ordinary laboratories.Therefore,it is urgent to construct an image flow water quality safety monitoring system suitable for general laboratory.The water quality safety monitoring system based on image flow design was introduced in this paper is based on the FCM as the model,collecting cell fluorescence images and bright field images by CCD microcamera,and processing the images to generate binary images for subsequent image recognition,counting and classification.The system has the advantages of small sample demand,rapid,accurate and low cost,and can be applied to the general laboratory for water quality safety monitoring.The main contents of this paper include system design,software and hardware testing and application:(1)The monitoring system is designed and constructed according to the monitoring principle of the system.The system has two parts: hardware and software.The hardware part is mainly composed of microflow pump,observation room,CCD camera,laser pointer and other devices.The software part is mainly in the Lab VIEW platform prepared image processing software.(2)The hardware part of the system was tested,which mainly tested the matching of laser incident point,collection speed and cell flow speed,as well as the imaging of cells.(3)Complete the accuracy test of part of the software of this system,which mainly includes the test of identification,classification and counting of cells of different sizes and shapes.In this paper,scenedesmus obliquus,nostoc and vibrio qinghai Q67 were selected for monitoring,and the monitoring results can be used as the basis for testing the accuracy and reliability of the system.The test results show that the system can quickly and accurately complete the tasks of identification,classification and counting.(4)Finally,the system is applied to evaluate the water quality safety of Mingli lake.