用于数字等温扩增系统的荧光图像分析技术-《中国医学物理学杂志》

文章信息/Info

Title:: Fluorescence image analysis technique for digital isothermal amplification system

作者:: 徐静1; 汪磊2; 赵俊2; 花昌义2; 朱灵2; 王明龙2; 周正仙1; 1.中国科学院合肥物质科学研究院应用技术研究所/安徽省生物医学光学仪器工程技术研究中心/安徽省医用光学诊疗技术与装备工程实验室，安徽合肥 230031； 2.安徽师范大学物理与电子信息学院，安徽芜湖 241002

Author(s):: XU Jing1; WANG Lei2; ZHAO Jun2; HUA Changyi2; ZHU Ling2; WANG Minglong2; ZHOU Zhengxian1; 1. Institute of Applied Technology,Hefei Institutes of Physical Science,Chinese Academy of Sciences/Anhui Provincial Engineering Technology Research Center for Biomedical Optical Instrument/Anhui Provincial Engineering Laboratory for Medical Optical Diagnosis and Treatment Technology and Instrument, Hefei 230031, China 2. School of Physics and Electronic Information, Anhui Normal University, Wuhu 241002, China

Keywords:: Keywords: digital isothermal amplification technology fluorescence image microfluidic chip Image J image processing software

摘要:: 基于微流控芯片的数字等温扩增技术作为一种新型分子检测技术，可以通过对采集到的荧光图像进行特定的图像处理，以实现对待测目标的绝对定量分析。本研究利用本课题组研制的数字微流控芯片所采集到的荧光图像为分析对象，并结合实际应用环境，开发出配套的软件分析系统。该系统中的荧光图像处理分析部分具备图像拼接、图像倾斜校正、目标区域的截取、图像分割以及荧光亮点计数等功能。该系统能很好地满足核酸分子数检测的需求，并具有良好的人机交互性能。结果表明该系统的分析结果与Image J图像处理软件的统计结果不仅具有一致性，而且能够对检测到的结果实现自动化的计算分析，这为该款软件分析系统的广泛应用奠定了坚实的基础。

Abstract:: The digital isothermal amplification technology based on microfluidic chips, as a new molecular detection technology, can be used to specifically process the collected fluorescence image, thereby achieving the absolute quantitative analysis on the target to be tested. A supporting software analysis system is developed with the fluorescence images collected by the self-developed digital microfluidic chips as the analysis object and based on the consideration of the actual application scenario. The florescence image processing part of the developed system has such functions as image splicing, image tilt correction, intercept of target area, image segmentation and fluorescence spot counting. This analysis system can satisfy the requirement of nucleic acid molecular number detection and has good human-machine interaction performance. The analysis results obtained by the system are consistent with the statistical results of Image J image processing software, and moreover the proposed system can achieve an automatic calculation and analysis of the detected results, which lays a solid foundation for the wider application of the analysis system in the future.