Surface Plasmon Resonance Sterilization 3D Imaging Technology Considering the Engineering Hue Algorithm

Abstract

The high-resolution dynamic observation of the phenomenon of impossible surface plasmon resonance sterilization is conducted which resulted from the quality problems in the imaging process of traditional surface plasmon resonance sterilization 3D imaging technology. Surface plasmon resonance (SPR) technology is mainly based on the physical-optical properties generated by the optical coupling of metal thin films, and flexible optical analysis methods are used to improve the quality and efficiency of SPR sterilization 3D imaging. In this paper, the engineering hue algorithm is introduced into the 3D imaging process of surface plasmon resonance sterilization, and the front-end imaging system composed of the objective lens, distributed elements, focusing mirrors, and probes is used to obtain the corresponding surface plasmon resonance sterilization spectrum data on the back-end processor and quickly send the imaging calculation amount from the front-end to the back-end. Meanwhile, combined with 3D imaging, dislocation data processing technology, and multiframe reconstruction method, the reconstruction accuracy is improved, and memory space is released to speed up data processing. Finally, the experimental analysis shows that the engineering hue algorithm is used in the process of surface plasmon resonance sterilization 3D imaging, which can complete the superresolution plasmon resonance sterilization 3D imaging, and the obtained imaging effect is good, the data processing speed is fast, and it can be observed in surface plasmon resonance sterilization imaging with wide amplitude, high resolution, and low power consumption.