快照式显微光谱成像系统及水藻分类识别研究

Research on Snapshot Microspectral Imaging System and Algae Classification Recognition

目前的显微光谱成像系统的探测模块主要以推扫型光谱成像仪为主,无法进行动态微观样本的观测。基于超材料宽谱调制型光谱成像技术体制,使用该原理研制的快照式光谱相机作为探测模块,其与显微镜模块形成新型的快照式显微光谱成像系统。该系统可实时获取样本的光谱曲线与光谱图像信息。同时利用该系统获取不同藻类的吸收光谱曲线,进一步使用基于支持向量机的图像分割识别算法,对水中的动态藻类样本进行识别。共测试样本80个,预测结果准确率为100%,召回率为65.52%,为快照式光谱成像技术在显微领域的应用奠定基础。

Current detection modules in microspectral imaging systems primarily comprise push-broom spectral imagers,which cannot observe dynamic microscopic samples.In this study,leveraging the capabilities of metamaterial broad-spectrum-modulated spectroscopic imaging technology,a snapshot spectroscopic camera was developed and used as a detector module to form a novel snapshot microscopic spectroscopic imaging system with a microscope module.This system enables real-time acquisition of spectral curves and image information from samples.Additionally,we used the developed system to obtain the absorption spectral curves of different algae and further used a image segmentation recognition algorithm based on a support vector machine to recognize dynamic algae samples in water.A total of 80 samples were tested in this experiment,yielding 100%accuracy and 65.52%recall for the prediction results.Thus this result forms the foundation for the application of snapshot spectral imaging technology in the field of microscopy.