Optimizing surface plasmon resonance spectral imaging through AOTF-calibrated light sources and image feedback

Xueliang Wang, Songfeng Huang, Jiali Tai,Xiaoqi Dai, Xiaorui Liu,Yuye Wang,Jiajie Chen,Junle Qu, Ho-Pui Ho,Yonghong Shao

Optics & Laser Technology(2024)

引用 0|浏览2
暂无评分
摘要
The resonance curve signal obtained by spectral imaging of surface plasmon resonance (SPR) is modulated by the light source spectrum, resulting in errors in the measurement of resonance value and the increase of calculation time, making it difficult to achieve real-time SPR wavelength imaging with high linearity. Here we adjust the acousto-optic tunable filter (AOTF) amplitude by image feedback to achieve real-time uniform calibration of the light source spectrum. As a result, the stability of the light source can be largely increased, which favors long-time detection. Furthermore, we propose a data processing method to achieve high linearity and realize real-time spectral imaging under fast scanning conditions. The calculation time of a single image is as low as 600 ms, with a linearity R2 of 0.9931. More importantly, the dynamic range is increased by 20 nm, which broadens the application scenarios.
更多
查看译文
关键词
Surface plasmon resonance,Acousto-optic tunable filter,Image feedback,Biosensor
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要