基于图像流式细胞技术的微藻检测系统设计

发布时间：2018-06-08 07:03

本文选题：图像流式细胞术 + 微流控芯片　；参考：《大连海事大学》2016年硕士论文

【摘要】：图像流式细胞技术是近年来国外科学家和技术人员提出的全新的检测概念,将图像式流式细胞技术应用到藻类监测中是一种有效的、创新的监测方式。藻类是海洋生态系统中最主要的能量转换者,它们可以随着压载水走到世界各地,而且与赤潮现象密切相关,所以对海藻进行监测具有重大意义。本文提出一种将微流控芯片和智能手机结合在一起检测压载水中微藻的方法。主要实现了基于图像流式细胞技术的压载水检测系统设计,主要有体积小(8×4×5 cm)、重量轻(约100g)、可单体测量等优点。使用单透镜结合手机成像的方式,放大倍数约为350倍,分辨率约为1.5μm,视场约为150μm×150μm,同时满足统计学意义和单体细胞特征检测意义。本文的主要研究内容为：提出单透镜显微放大光路的设计,确定数字图像采集系统的设计原理,设计实时视频处理系统,其包括光学显微模块、基于智能手机的数字图像采集模块、数字图像处理模块、阻抗脉冲检测模块；对海藻细胞的形态特征进行提取、辨别,并结合阻抗脉冲检测技术对流过微流控芯片的海藻细胞进行计数,完成了机械结构模块的设计,将各个部分集成到一起完成图像流式细胞检测装置的设计；并将图像处理程序向安卓手机进行了简单的移植；最后通过对海藻细胞特征的检测,验证检测系统在海藻检测中的准确性。
[Abstract]:Image flow cytometry is a new detection concept put forward by foreign scientists and technicians in recent years. It is an effective and innovative method to apply image flow cytometry to algal monitoring. Algae are the most important energy converters in marine ecosystem. They can travel to the world with ballast water and are closely related to the red tide phenomenon, so it is of great significance to monitor algae. A method for detecting microalgae in ballast water by combining microfluidic chip and smart phone is presented in this paper. The design of ballast water detection system based on image flow cytometry is mainly realized. The system has the advantages of small volume 8 脳 4 脳 5 cm ~ (-1), light weight (about 100 g / g), and can be measured by single unit. Using single lens and mobile phone imaging, the magnification is about 350 times, the resolution is about 1.5 渭 m, and the field of view is about 150 渭 m 脳 150 渭 m. The main contents of this paper are as follows: the design of optical path of single lens microscopic amplification, the design principle of digital image acquisition system, the design of real-time video processing system, including the optical microscope module, are proposed. Digital image acquisition module based on smart phone, digital image processing module, impedance pulse detection module. Combining with the impedance pulse detection technology, the algae cells flowing through the microfluidic chip are counted, the mechanical structure module is designed, and the image flow cytometer is designed by integrating all the parts together. The image processing program is simply transplanted to Android mobile phone. Finally, the accuracy of the detection system in algae detection is verified by detecting the characteristics of algae cells.
【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】：TP391.41

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