基于微流控芯片的图像流式细胞仪设计

发布时间：2018-04-05 22:00

本文选题：图像流式　切入点：红细胞含量　出处：《大连海事大学》2016年硕士论文

【摘要】：图像流式细胞仪是一种用来检测生物细胞的,尤其是用在统计细胞数量、检测细胞状态等方面的当前较为流行的生物细胞检测仪器。但是这种仪器的造价昂贵、体积庞大、结构复杂,并不适用于普通生物实验室所要完成的细胞观察及分类计数等简单任务。所以急需设计出一种能够对普通生物实验室显微镜进行功能升级的图像流式细胞仪。本论文中设计了一种新的基于微流控芯片及显微镜的图像流式细胞仪,该图像流式细胞仪以微流控芯片为样品平台,通过单片机控制样品平台移动,实现样品视野的转换,结合普通显微镜实现微流控芯片内细胞图像的自动获取,通过PC机端的图像处理算法及软件实现细胞的轮廓跟踪、识别和计数。本系统具有样品需求量小、快速、准确、成本低等优点,可以将实验室的普通显微镜升级成为图像流式细胞仪,克服现有商用化图像流式细胞仪价格昂贵、不便普及等缺点。本文的主要内容包括系统的设计,软硬件测试和应用:(1)按照系统的检测原理对检测系统进行设计和搭建,本系统具有硬件和软件两个部分。其中,硬件部分主要由显微镜及摄像头、微流控芯片、步进电机控制模块、系统机械结构等构成。软件部分主要包括拍摄软件和图像处理软件,图像处理软件用C++语言在VC++6.0开发平台下编写,包括图形处理、文件管理、软件界面等功能模块。(2)完成了对本系统硬件部分的测试,主要是对由单片机控制的移动平台模块进行测试。在测试中,显微镜视野下的样品随芯片移动的距离主要由目镜及物镜的放大倍数、步进电机转动圈数及螺杆的螺纹间距所决定。经过对这些参数的计算和进行实验,得到了灵活准确的样品移动效果。(3)完成了对本系统软件部分的准确性的测试,主要包括对不同大小的颗粒的分类计数结果的测试,对人体血液样品中的红细胞的计数结果的准确程度测试和对海藻细胞浓度检测功能的测试。对不同大小颗粒测试的主要作用是评价系统对体积不同的细胞进行检测时的分类识别能力。对海藻细胞和血液细胞样品的测试体现系统对样品液浓度检测和计算的准确程度且体现了本系统的生物学意义。检测结果表明:本系统能够快速准确地完成分类、计数和浓度计算等任务。
[Abstract]:Image flow cytometry (FCM) is a popular biological cell detection instrument which is used to detect biological cells, especially in the fields of cell count and cell status.However, this instrument is expensive, large and complex, and is not suitable for simple tasks such as cell observation and classification and counting.Therefore, it is urgent to design an image flow cytometry that can upgrade the function of ordinary biological laboratory microscopes.In this paper, a new image flow cytometry based on microfluidic chip and microscope is designed.The image of cells in microfluidic chip can be acquired automatically by using common microscope, and the contour tracking, recognition and counting of cells can be realized by the image processing algorithm and software of PC.The system has the advantages of small sample demand, fast, accurate and low cost. It can upgrade the ordinary microscope of laboratory to image flow cytometry, and overcome the disadvantages of high price and inconvenient popularization of commercial image flow cytometry.The main contents of this paper include the design of the system, software and hardware testing and application: 1) according to the detection principle of the system to design and build the detection system, the system has two parts: hardware and software.The hardware is mainly composed of microscope and camera, microfluidic chip, stepper motor control module, system mechanical structure and so on.The software part mainly includes shooting software and image processing software. The image processing software is written under VC 6.0 development platform with C language, including graphic processing, file management, etc.The hardware part of the system is tested, and the mobile platform module controlled by single chip microcomputer is mainly tested.In the test, the distance of the sample moving with the chip under the microscope is mainly determined by the magnification of the eyepiece and objective lens, the number of rotation coils of the stepping motor and the screw thread spacing.Through the calculation and experiment of these parameters, the flexible and accurate sample moving effect is obtained. The accuracy of the software part of the system is tested, mainly including the test of the classified counting results of different sizes of particles.The accuracy of erythrocyte count in human blood samples and the function of algal cell concentration were tested.The main function of particle testing is to evaluate the ability of classification and recognition of cells with different size.The measurement of algal cells and blood cell samples shows the accuracy of the system in detecting and calculating the concentration of the sample liquid and the biological significance of the system.The results show that the system can quickly and accurately complete the tasks of classification, counting and concentration calculation.
【学位授予单位】：大连海事大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TH79

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