基于智能手机的快照式荧光多光谱成像  

Smartphone-Based Snapshot Fluorescence Multispectral Imaging

作　　者：李玉豪 余毅[1] 孙志远[1] 穆远超 Li Yuhao;Yu Yi;Sun Zhiyuan;Mu Yuanchao(Fine Instrument and Equipment Research&Development Center,Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of Sciences,Changchun 130033,Jilin,China;University of Chinese Academy of Sciences,Beijing 100049,China)

机构地区：[1]中国科学院长春光学精密机械与物理研究所精密仪器与装备研发中心,吉林长春130033 [2]中国科学院大学,北京100049

出　　处：《激光与光电子学进展》2023年第2期432-439,共8页Laser & Optoelectronics Progress

基　　金：国家自然科学基金(62104227)。

摘　　要：多光谱重建技术在生物医学领域有着巨大的应用潜力。在传统的皮肤和口腔细菌评估中,目视检查仍然是最广泛使用的方法。这种方法依靠肉眼观察,主观性很强。即使是有经验的临床医生,对细菌感染的确定和评估也经常存在不确定性。为了提供客观和更准确的细菌评估,提出一种基于Wiener估计的荧光多光谱重建方法。该方法基于智能手机平台,用紫色光源激发,采集了皮肤和牙齿的自发荧光图像,使用Wiener估计算法将获取的自发荧光图像重建为具有31个波段(范围为400~700 nm)的多光谱数据立方体,提取并比较细菌产生的卟啉和内源性背景组织发射的光谱强度。基于提取的自发荧光光谱,应用加权减法来实现对皮肤表面细菌的高对比度和高信噪比识别。实验结果表明,所提方法不仅能够准确重建荧光多光谱图像,而且能够实现细菌的定位,应用加权减法后,对比度增强了12~46倍,信噪比提高了1.63~2倍。Multispectral reconstruction technology has widespread potential applications in biomedicine.Moreover,visual inspection is the typically used traditional method for skin and oral bacteria assessment.However,this method relies on naked-eye observations and is highly subjective.Even experienced clinicians face uncertainty while providing a definite diagnosis for the bacterial infection.This study proposes a fluorescence multispectral Wiener estimation-based reconstruction method to provide an objective and accurate bacterial evaluation.This method is based on a smartphone platform that is excited by a purple light source to capture spontaneous fluorescence images of skin and teeth.The Wiener estimation algorithm was used to reconstruct the acquired autofluorescence image into a multispectral data cube with 31bands(400-700 nm).Furthermore,the spectral intensity of the porphyrin produced by the bacteria and the endogenous background tissue emission was extracted and compared.Based on the extracted autofluorescence spectra,a weighted subtraction method was utilized to obtain high-contrast and high-signal-to-noise identification of the bacteria on the skin surface.The experimental results indicate that the proposed method accurately reconstructs the multispectral fluorescence image and realizes the position of bacteria.After the weighted subtraction method was applied,the contrast increases by 12 to 46 times and the signal-to-noise ratio increases by 1.63 to 2 times.

关 键 词：光谱、荧光和发光 多光谱重建 快照式 智能手机 维纳估计 

分 类 号：O433.4[机械工程—光学工程]