Chinese Journal of Liquid Crystals and Displays, Volume. 37, Issue 9, 1174(2022)

Processing and analysis of surface plasmon resonance image of polystyrene microspheres

Jing-ning WU1,2, Zi-wei LIU1,2, Bo YANG1,2, Chen CAI1, and Zhi-mei QI1,2,3、*
Author Affiliations
  • 1State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China
  • 2School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
  • 3School of Optoelectronics, University of Chinese Academy of Sciences, Beijing 100049, China
  • show less

    The hyperspectral SPRi sensor was used to perform microscopic analysis of polystyrene microspheres, and the hyperspectral SPR data collected under different polarization conditions were processed, resulting in effective suppression of the contrast of inherent stains in the SPR hyperspectral images and making the position and outline of the polystyrene microsphere sample clearer. The processed SPR spectra become smooth, reducing the influence of the spectral characteristics of the light source and random noise on the SPR resonance information extraction. By comparing the SPR image of polystyrene microspheres with the reflection bright field microscopic image, it is found that there are obvious differences between the two images. The main reason is the limitation of the penetration depth of the evanescent field. The results show that SPR images can clearly reflect the contact between particles and metal surfaces in the evanescent field, but cannot quantify the true size of objects beyond the penetration depth of the evanescent field compared with reflection bright field microscopy images.

    Tools

    Get Citation

    Copy Citation Text

    Jing-ning WU, Zi-wei LIU, Bo YANG, Chen CAI, Zhi-mei QI. Processing and analysis of surface plasmon resonance image of polystyrene microspheres[J]. Chinese Journal of Liquid Crystals and Displays, 2022, 37(9): 1174

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Research Articles

    Received: Feb. 16, 2022

    Accepted: --

    Published Online: Sep. 14, 2022

    The Author Email: Zhi-mei QI (zhimei-qi@mail.ie.ac.cn)

    DOI:10.37188/CJLCD.2022-0057

    Topics