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Proceedings Paper

Development of a phase modulation surface plasmon resonance image detection system based on time-stepped quadrature phase shifting method
Author(s): Shu-Sheng Lee; Tsung-Yen Huang; Sheng-En Chen; Chih-Chieh Hung
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Paper Abstract

In this research work, a phase modulation surface plasmon resonance (SPR) image detection system adapted timestepped quadrature phase shifting method as the phase retrieving technique has been developed. There are many techniques used to retrieve the phase from interference fringes, such as five steps phase shifting, rotating analyzer, etc. However, they need five fringes images or three rotating steps of the optical component for each phase retrieving. We chose the time-stepped quadrature phase shifting method to be the phase retrieving technique. Since this method is originally developed for electronic speckle pattern interferometry (ESPI), we have modified the algorithm and verified it with the simulated data. The path-independent phase unwrapping method was utilized to reconstruct the sample's phase distribution on the testing area. A previous built-up system, OBMorph, has been modified to complete the time-stepped quadrature phase shifting technique based phase modulation SPR image detection system. Some different concentration sodium chloride-water solution and Ethanol-water solution has been measured. The experimental results showed the trend of the phase variation was coincident to the concentration change. Hence, the system we developed can successfully obtain the phase changes while the sample varies.

Paper Details

Date Published: 31 March 2012
PDF: 10 pages
Proc. SPIE 8344, Nanosensors, Biosensors, and Info-Tech Sensors and Systems 2012, 83441B (31 March 2012); doi: 10.1117/12.914943
Show Author Affiliations
Shu-Sheng Lee, National Taiwan Ocean Univ. (Taiwan)
Tsung-Yen Huang, National Taiwan Ocean Univ. (Taiwan)
Sheng-En Chen, National Taiwan Ocean Univ. (Taiwan)
Chih-Chieh Hung, National Taiwan Ocean Univ. (Taiwan)


Published in SPIE Proceedings Vol. 8344:
Nanosensors, Biosensors, and Info-Tech Sensors and Systems 2012
Vijay K. Varadan, Editor(s)

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