流式细胞仪细胞图像采集系统的研究

发布时间：2018-06-02 21:55

本文选题：细胞检测 + 微流控芯片　；参考：《西安理工大学》2017年硕士论文

【摘要】：利用微流控芯片和无透镜CMOS图像传感器进行流式细胞的图像采集,是近年来的一个研究热点,但是,由于未经透镜放大,采集到的细胞图像分辨率较低、细节信息少;同时,微流控芯片的控制效果不理想,导致细胞黏连、重影现象严重,因此,研究流式细胞检测系统中,细胞图像的采集对细胞的分析检测具有重要意义。本文运用微流控技术和CMOS图像传感技术进行流式细胞的成像研究,主要内容有:三维聚焦微流控芯片的设计、芯片表面粗糙度的分析和改善、图像传感器和PDMS封接成微流控芯片的工艺研究、细胞图像采集过程的硬件实现以及原始图像预处理。首先对微流控芯片的聚焦原理和设计过程进行研究,分析总结具有二维聚焦功能的三叉型微流控芯片的结构特点和缺陷,在此基础上,设计制作出中间带挡板的三叉型微流控芯片,能够完成垂直向下方向上的细胞聚焦;其次,摸索完善微流控芯片的制作工艺,对影响芯片内壁表面粗糙度的关键因素进行分析,并提出解决方法;接下来,研究用CMOS图像传感器的玻璃盖板代替有机玻璃,和PDMS键合封接的工艺流程,通过理论分析和实验对比,制作出基于OV5640图像传感器的微流控芯片;最后,完成了细胞图像的采集、存储、显示等过程的硬件实现,并利用FPGA的片内ROM存储器进行图像存储,对采集到的原始图像进行预处理,降低数据处理量。通过本文的研究,改善了微流控芯片的聚焦性能和控制效果,并搭建出基于FPGA硬件平台的流式细胞图像采集系统,为进一步降低系统体积,提高处理速度做出贡献。
[Abstract]:Using microfluidic chip and lensless CMOS image sensor to collect flow cell image is a hot research topic in recent years. However, because of the unamplified lens, the cell image has low resolution and less detail information. The control effect of microfluidic chip is not ideal, which leads to cell adhesion and heavy double image phenomenon. Therefore, it is very important to study cell image collection in flow cytometry system. In this paper, flow cytometry (FCM) imaging is studied by using microfluidic technology and CMOS image sensing technology. The main contents are as follows: design of 3D focused microfluidic chip, analysis and improvement of surface roughness of microfluidic chip. The process of sealing microfluidic chip with image sensor and PDMS, the hardware realization of cell image acquisition and the preprocessing of original image are studied. Firstly, the focusing principle and design process of microfluidic chip are studied, and the structural characteristics and defects of tri-forked microfluidic chip with two-dimensional focusing function are analyzed and summarized. A tri-forked microfluidic chip with a middle baffle is designed and fabricated, which can focus the cells vertically down. Secondly, the fabrication process of the microfluidic chip is explored and the key factors affecting the surface roughness of the inner wall of the chip are analyzed. Then, the process of using glass cover plate of CMOS image sensor instead of plexiglass and bonding and sealing with PDMS is studied. The microfluidic chip based on OV5640 image sensor is fabricated by theoretical analysis and experimental comparison. Finally, the hardware realization of cell image acquisition, storage, display and so on is completed. The image is stored by ROM memory in FPGA, and the original image is preprocessed to reduce the data processing capacity. Through the research in this paper, the focusing performance and control effect of the microfluidic chip are improved, and a flow cell image acquisition system based on FPGA hardware platform is built, which contributes to further reducing the volume of the system and increasing the processing speed.
【学位授予单位】：西安理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TH789;TN492

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