项目名称: 发展适用于肿瘤细胞实时快速拉曼成像的光谱信号处理方法
项目编号: No.21503171
项目类型: 青年科学基金项目
立项/批准年度: 2016
项目学科: 数理科学和化学
项目作者: 王昕
作者单位: 厦门大学
项目金额: 21万元
中文摘要: 拉曼光谱因具有特异性高、无标记和不受水干扰等优点,在细胞和医学成像中发挥越来越重要的作用。肿瘤细胞分裂周期短,对其实时动态成像要求拉曼光谱技术具有较高的时间分辨能力。而细胞体系拉曼信号微弱,短时间采谱意味着信号信噪比更低,难以获得满意的成像效果。如能从信号处理的角度,从强噪声背景中快速准确地提取有价值的谱图信息,将显著推动拉曼光谱成像技术的发展和应用。本项目拟以快速拉曼成像为目标:1)建立拉曼光谱信号的快速基线校正方法,以基准-匹配的模式来实现海量信号的基线校正,提高基线校正的速度;2)建立拉曼信号快速识别方法,引入微弱信号检测技术中的相关函数作为有效信号强度的衡量标准,提高对信号的识别能力;3)建立确定最佳采谱时间的快速方法,实现成像质量的快速预判和量化算法,建立成像质量和采谱时间之间的联系。项目的顺利实施将能显著降低拉曼成像时间,提高其时间分辨率,为细胞、医学和病理学研究提供重要依据。
中文关键词: 拉曼光谱;信号处理;肿瘤细胞;低信噪比
英文摘要: Raman imaging technique plays an important role in the field of cell and medical imaging, due to its advantages of high specificity, non-label and low aqueous interference. The real-time imaging for cancel cell division cycle has put forward higher requirement for Raman imaging technique in time resolution capability because of the short cell cycle. Raman signal of the cell research system given in short scan time is too weak to achieve satisfying imaging quality. If the extraction of useful information from strong noise background is realized by signal processing, the development and application of Raman imaging technique will be promoted significantly. We aims at fast Raman imaging: 1) Establish fast baseline correction method for Raman imaging signal, which increases the corrected speed for mass signals in the mode of reference-matching; 2) Establish Raman signal recognition algorithm, which improves the recognition ability by introducing the correlation function from weak signal detection techniques as the yardstick of Raman intensity; 3) Establish fast method for scan time determination, which predicts and quantifies the imaging quality, and builds the relation between imaging quality and scan time. Successful implementation of this study will reduce the Raman imaging time, improve the time resolution capability of Raman imaging technique, and provide important insights for the study of cell, medical science and pathology.
英文关键词: Raman spectroscopy;Signal processing;Cancel cell;Low signal-to-noise ratio