摘要
拉曼光谱信号,尤其是生物活体的拉曼信号,由于受到荧光背景噪声的影响,光谱复杂,在很大程度上影响了分析效果。依据荧光背景特点提出了一种基于信号极小极大值自适应缩放的消除荧光背景方法,从峰强与质量分数关系、单光谱与混合光谱关系两个方面验证可行性,并与传统基于多项式拟合基线校正的荧光背景消除方法进行对比,结果表明该方法优于传统方法。为了显示血液在活体小鼠耳朵组织中的二维和三维分布,选用血红蛋白的特征峰1549cm-1来做拉曼成像,与以往数据处理的方法所得到的图像进行对比,结果表明此方法能够获得较好的拉曼光谱数据,特别是对一些较弱的拉曼特征峰,成像结果更好。
Raman signal, especially signal from living organisms, sometimes is interfered so seriously by the background fluorescence that it is too complex to get good result. According to the characteristics of fluorescence background, a new fluorescent background method based on min-max signal adaptive zooming is developed. To verify the feasibility of this method, two ways are used： one is the relation between peak intensity and concentration, the other is the relation between single spectrum and mixed spectra. Compared to the traditional fluorescent background elimination （polynomial fitting baseline correction）, the results show that this method is highly feasible and superior to the traditional method. To image the 2D, 3D blood distribution in mice ear tissue in vivo, the peak at 1549 cm-1 which is one of characteristic peaks of hemoglobin is selected. By comparing the image results generated by this new method with the former process way, the results show this method can optimize the Raman spectral data, especially for low-density Raman characteristic peaks, so the imaging results are better.
出处
《光学学报》
EI
CAS
CSCD
北大核心
2013年第2期258-266,共9页
Acta Optica Sinica
基金
国家自然科学基金(60868002
31060128)
广西自然科学基金(2012GXNSFFA060008
2011GXNSFA018143)
广西科技攻关(桂科合10100019-22)资助课题
关键词
拉曼光谱
荧光背景
信号处理
消噪
活体成像
Raman spectrum
fluorescence background
signal process
noise
in-vivo imaging
作者简介
高国明（1987-），男，硕士研究生，主要从事拉曼光谱数据处理和地震数据处理等方面的研究。E—mail：gmga001@gmail．com
姚辉璐（1972-），男，研究员，硕士生导师，主要从事仪器开发及光谱分析等方面的研究。E-mail：huiluy@gmail．com（通信联系人）
