Photon Scattering Signal Amplification in Gold-Viral Particle Ligation Towards Fast Infection Screening

Heng Zhang; Xiao Jin; Hanwen Zhao; Yongping Lin; Xiaofeng Li; Lianping Hou; John Marsh; Lei Dong; Daming Shi; Weiping Liu; Bin Xu; Bin Ni; Juan Liu; Jichuan Xiong; Xuefeng Liu

doi:10.1109/JPHOT.2021.3074386

IEEE Photonics Journal (Jan 2021)

Photon Scattering Signal Amplification in Gold-Viral Particle Ligation Towards Fast Infection Screening

Heng Zhang,
Xiao Jin,
Hanwen Zhao,
Yongping Lin,
Xiaofeng Li,
Lianping Hou,
John Marsh,
Lei Dong,
Daming Shi,
Weiping Liu,
Bin Xu,
Bin Ni,
Juan Liu,
Jichuan Xiong,
Xuefeng Liu

Affiliations

Heng Zhang: School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China
Xiao Jin: School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China
Hanwen Zhao: School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China
Yongping Lin: State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China
Xiaofeng Li: State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China
Lianping Hou: ORCiD; James Watt School of Engineering, University of Glasgow, Glasgow, U.K.
John Marsh: ORCiD; James Watt School of Engineering, University of Glasgow, Glasgow, U.K.
Lei Dong: School of Life Science, Beijing Institute of Technology, Beijing, China
Daming Shi: ORCiD; College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China
Weiping Liu: School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China
Bin Xu: School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China
Bin Ni: ORCiD; School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China
Juan Liu: School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China
Jichuan Xiong: ORCiD; School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China
Xuefeng Liu: ORCiD; School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China

DOI: https://doi.org/10.1109/JPHOT.2021.3074386
Journal volume & issue: Vol. 13, no. 3
pp. 1 – 11

Abstract

Read online

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.

Published in IEEE Photonics Journal

ISSN: 1943-0655 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Engineering (General). Civil engineering (General): Applied optics. Photonics; Science: Physics: Optics. Light
Website: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=4563994

About the journal

Abstract

Keywords