Software Designing And Data Processing For An Automated Biochemical Analyzer

Biochemical analyzer is an important instrument for clinical biochemical test. Presently, the development of biochemical analyzer in China is still at a preliminary stage. This dissertation is to present the designing and realization of the software system for a miniature automated analyzer which can be easily operated and has complete functions and Chinese user interface.Firstly, this dissertation presents the functions of the software system, and then describes the functions and their realization of the main dialogues, controls and views in the user interface in details. Designed in Visual C++ 6.0 Integrated Developer Studio, the user interface employs standard Windows Interface and common controls and meets the specialized demand of the operation for biochemical analyzer as well. It realizes the user's input, such as the programming for patient sample and quality control sample, the setting of parameters for item methods and of conditions for query, and realizes the display of views, such as reports of patient results and item results, statistical message of historical quality control data and of item results, real time running curve. The user interface can be easily operated and has complete functions.Secondly, this dissertation describes the management of data and the designing of database in the software system. Microsoft Access is used to store and manage the mass data of the software system. Combined with the properties and demand of data for biochemical analysis, such as patient sample data, quality control data and item method data, this dissertation discusses the designing of basic tables and query tables of the database, the establishment of the relations among tables, and the methods to store, query and update the database. This database has logic structures, powerful query functions and stable operation.Lastly, a data processing model for analysis of kinetics tests is presented in this dissertation, which can be used to solve the nonlinear problem resulted from substrate exhaustion in automated tests.. This model uses the method of absorbance limit (J value method), the method of nonlinear judgement and the same sign method comprehensively in order to obtain an accurate and reliable value of enzyme activity.Experimental data from the test of LDH enzyme activity is used to verify the soundness of this data processing model, and to discuss the set of the parameter and the evaluation of the arithmetic in the model. The results indicate that this data processing model is adaptable, stable and reliable.