Research on Snapshot Microspectral Imaging System and Algae Classification RecognitionDongliang Li, Hongxing Cai, Yu Ren, Shuang Li, Yangyang Hua, Tingting Wang, Jianwei Zhou, Guannan Qu, Shuo Wang, Yangming Cao, and Hengyuan Zhang
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. 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.showLess Laser & Optoelectronics Progress
- Publication Date: Mar. 25, 2024
- Vol. 61, Issue 6, 0618023 (2024)