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The Development of the Portable Colloida Gold Strips Reader Based on Embedeed System of ARM

Author: LiHongMei
Tutor: YangYuSen
School: Jilin University
Course: Electronics and Communication Engineering
Keywords: Immuno-gold Image Measurement Embedded Systems WINCE S3C2440
CLC: TP216.3
Type: Master's thesis
Year: 2011
Downloads: 84
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Abstract

The dipstick test method is a commonly used method of detection of medical, pharmaceutical, food and environmental field detection Biochemistry amount. The test strip of colloidal gold labeling (referred to as the gold standard) is a common detection test strips, which can be qualitative detection of clenbuterol, ractopamine Biochemistry amount. When the content of analyte in the sample to be higher than the detection limit, the dipstick is not color, to be the content of the analyte in the sample was below the detection limit, the different concentrations of the sample will exhibit different shades of color on the test strip. Dipstick tests are qualitative detection, in the case of a high number of samples and the detection accuracy requirements can not meet the testing requirements, and to develop a quantitative detection of sample concentrations of biochemical testing instruments necessary. Most of the volume of the common market of biological and chemical detection instrument is not easily portable, suitable for precision measurements in the laboratory. And most able to independently process the data, you need to make use of computers and other aids for measuring. When the rapid detection of a large number of samples in the field, or no the auxiliary tools require independent testing, these large instruments do not apply. Paper design study of a portable ARM-based embedded systems and image processing method gold standard test strip analyzer, its small size, light weight, easy to carry, the data can be processed independently to achieve quantitative detection function. Portable gold standard test strip analyzer including image acquisition module, image storage module, data processing module, the operator display module and communication module. CMOS camera, ARM9 series S3C2440 chip, LCD touch screen and other components to build the hardware model and design related software. The analyzer is able to use CMOS camera capture a picture, a corresponding position stored in the memory. The the gray feature value of the software to extract image, MATLAB Curve Fitting Toolbox the grayscale characteristics and sample concentration intends to write the image analysis software in the synthesis of the corresponding function. When measured again, to input an acquisition dipstick pictures will be able to automatically calculate the the gradation characteristic value, and according to the pre-set as a function of the concentration of the corresponding sample to be detected. The instrument also supports SD card storage, sample images can be stored to the SD card for easy data access. The main contents of this paper is divided into two parts, hardware structures and software design specific contents are as follows: The first chapter introduces the research background and research status of the test strip analyzer compared several commonly used methods of image processing and microprocessor selection method advantages and disadvantages, the study and discussion of the experimental background, the overall design of the program: ARM Embedded System in combination with image measurement method developed the portable gold standard test strip analyzer. The second chapter describes the design of the overall system, including detection card constitutes the principle of light source selection, photoelectric mechanism, image filtering, eigenvalue select and computing. Treat analysis of the characteristics of the measured picture, the combining method using the median filter and the mean filter is filtered to extract the gray-scale difference of the C-line and the T line and the background as a the gradation characteristic value of the C-line and the T line. Finally, the principle of MATLAB function fitting. The third chapter describes the hardware design of the system, to build the hardware platform built by the CMOS image sensor, LCD touch screen, S3C2440 chip components. Part of the image acquisition module, memory module, image processing module, the operator display module and communication module, the component options and connection method. Chapter IV designed operation of the system software, including image acquisition and storage section, and the image feature value of the extraction and calculation section. Microsoft Visual Studio 2005 development platform to build and debug programming project, designed a mouse tracking algorithm based feature value extraction software. Dipstick coloring region is relatively narrow, a line of the mouse tracking select feature region as a calculation area, using MATLAB function fitting toolbox fitting extracted gradation value and the function of the concentration of a sample. The compiled software programming in the the ARM board Windows CE 6.0 operating system, the instrument can process data independently from the computer. Chapter premise hardware and software platform after a certain amount of sample is selected, the analyzer performance deficiencies in the tests to verify the feasibility of the program design process, and summarize the design, prospects for future performance improvements and extensions.

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