:

Chi Gao1, Peng Zhao1, Qi Fan2

  • 1Xi'an Institute of Optics and Precision Mechanics of the Chinese Academy of Sciences, Shaanxi, 710076, China; The Key Laboratory of Biomedical Spectroscopy of Xi'an, Shaanxi, 710076, China; University of Chinese Academy of Sciences, Beijing 100049, China.

概括

这项研究引入了一种新的深度学习方法,用于智能拉曼光谱预处理. 该方法有效地减少噪声和基线漂移,显著提高信号质量和模拟和真实数据的峰值强度准确性.