The polarization states of scattered photons can be used to map or image the anisotropic features of a nanostructure. However, the scattering strength depends heavily on the refractivity contrast in the near field under measurement, which limits the imaging sensitivity for viral particles which have little refractivity contrast with their nano-ambientes. In this paper, we show the photon scattering signal strength can be magnified by introducing a more abrupt change of refractivity at the virus particle using antibody-conjugated gold nanoparticles (AuNPs), allowing the presence of such viruses to be detected. Using two different deep learning methods to minimize scattering noise, the photon states scattering signal of a AuNPs ligated virus is enhanced significantly compared to that of a bare virus particle. This is confirmed by Finite Difference Time Domain (FDTD) numerical simulations. The sensitivity of the polarization state scattering spectra from a virus-gold particle doublet is 5.4 times higher than that of a conventional microscope image.

中文翻译：

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金-病毒颗粒连接中的光散射信号放大，以快速进行感染筛查

散射光子的偏振态可用于映射或成像纳米结构的各向异性特征。然而，散射强度在很大程度上取决于所测量的近场中的折射率对比，这限制了对于与纳米环境几乎没有折射率对比的病毒颗粒的成像灵敏度。在本文中，我们显示通过使用抗体结合的金纳米颗粒（AuNPs）在病毒颗粒上引入折射率的更突然变化，可以放大光子散射信号强度，从而可以检测到此类病毒的存在。使用两种不同的深度学习方法将散射噪声降至最低，与裸露的病毒颗粒相比，与AuNPs连接的病毒的光子状态散射信号得到了显着增强。有限差分时域（FDTD）数值模拟证实了这一点。病毒金粒子双峰的偏振态散射光谱的灵敏度是传统显微镜图像的5.4倍。