Improving surface plasmon resonance sensors with speckle image processing

Author(s)

Fernandez, Jorge R. ; Fujiwara, Eric ; Hernandez-Figueroa, Hugo E.

• Document type: Journal article
• Source: OPTICS AND LASERS IN ENGINEERING; v. 178, p. 7-pg., 2024-04-18.

Abstract

This paper investigates digital image correlation approaches for assessing speckle patterns produced by surface plasmon resonance (SPR) imaging. An SPR sensor based on the Kretschmann setup comprising a gold-coated prism in a fixed angular position performs refractive index assessments in ethanol solutions. Subsequently, the acquisition system collects the reflected light and processes the speckle field images to evaluate the sensor's sensitivity, noise, and limit of detection. Based on three repetitions under similar conditions, the maximum resolution for the average intensity, zero-mean normalized cross-correlation, and the relative sum of square differences metrics are 4.90 x 10-4, -4 , 2.31 x 10-5, -5 , and 7.45 x 10-6 -6 RIU, respectively, leading to an improved limit of detection without modifying the optical setup. (AU)

• FAPESP's process: 21/06506-0 - Strongly resonant all-dielectric metasurfaces based on quasi-dark and toroidal modes
• Grantee: Hugo Enrique Hernández Figueroa
• Support Opportunities: Regular Research Grants
• FAPESP's process: 21/11380-5 - CPTEn - São Paulo Center for the Study of Energy Transition
• Grantee: Luiz Carlos Pereira da Silva
• Support Opportunities: Research Grants - Science Centers for Development
• FAPESP's process: 21/00199-8 - SMART NEtworks and ServiceS for 2030 (SMARTNESS)
• Grantee: Christian Rodolfo Esteve Rothenberg
• Support Opportunities: Research Grants - Research Centers in Engineering Program