拉曼光谱
计算机科学
光学镊子
鉴定(生物学)
镊子
人工智能
光谱学
生物系统
材料科学
光学
生物
物理
生态学
量子力学
作者
Zhaoying Zhou,Yiming Liu,Xiangyu Xie,Zi-Qing Wu
摘要
Multi-species blood identification is especially useful in animal quarantine, import and export, criminal cases, forensic examination, and wildlife conservation. Raman spectroscopy is a non-destructive, label-free, and highly specific method for providing chemical information on materials and serving as an analytical tool to characterize biological samples. Machine learning approaches in conjunction with Raman tweezers are proposed to extract the Raman spectral characteristics of single red blood cells (RBCs), then the cells based on the spectral characteristics are classified, and some classification prediction models to achieve single cell identification of different blood species are achieved finally.
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