拉曼光谱
强度(物理)
特征(语言学)
相关性
光谱功率分布
生物系统
辐射强度
谱线
化学
模式识别(心理学)
分析化学(期刊)
人工智能
核磁共振
材料科学
数学
光学
计算机科学
物理
生物
色谱法
天文
哲学
辐射
语言学
几何学
作者
Yixin Dai,Wenxue Li,Liu Wang,Chuan Luo,Qing Huang,Lin Pang
标识
DOI:10.1177/00037028211050663
摘要
Tumor detection supported by Raman spectroscopy is becoming increasingly popular, yet the relevance of spectral variation and feature selection retains unclear. Here we determined the correlation and difference between spectral characteristic and feature evaluation for leukocytes and tumor cells. Some peaks were found to show noticeable spectral differences, and their intensity distributions were investigated, finding using log-normal distribution to describe Raman intensity pattern may be more appropriate. Further the importance of all Raman features was calculated, where some other peak features occupied the top status. By surveying the intensity variation and feature evaluation for those peaks, we concluded the peak with the highest importance does not correspond to the peak location with the most noticeable intensity difference in spectra. Moreover, the peak intensity ratio of I1517/I719 associated with protein to nucleic acid level presented the maximum separation, thus, it can be recognized as a special indicator to develop an alternative cancer detection. It is inspiring to introduce advanced statistical models into bio-spectroscopic fields but those intrinsic spectral variations rather than classification performance should be valued. Our explorations can provide possibilities to reveal the essences within tumor carcinogenesis based on Raman spectroscopy, further overwhelming the obstacles during the translation into clinical applications.
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