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A. FERNÁNDEZ-GONZÁLEZ1, I. C. STANCU1,2,* , L. M. BUTAC2, R. SALZER1
Some of the most important problems reported when performing Surface Plasmon Resonance Imaging (SPRI) measurements with modular systems consist in image imperfections. Finding a solution to this challenging aspect is essential since the reproducibility and the sensitivity of the method are based on an accurate image analysis. The aim of this paper is to compare some simple algorithms to improve the quality and the amount of information in an SPR image. Two sections are highlighted: noise reduction and combination of information. The first one deals with the improvement of the contrast in the images (this means, difference of intensity between spots and background) and the second one with the possibility of combining the information obtained through two different images in a single one by using a false-colour system.
SPR image, Image analysis, Noise reduction.
A. FERNÁNDEZ-GONZÁLEZ, I. C. STANCU, L. M. BUTAC, R. SALZER, Noise reduction in Surface Plasmon Resonance images, Optoelectronics and Advanced Materials - Rapid Communications, 1, 9, September 2007, pp.452-456 (2007).
Submitted at: June 27, 2007
Accepted at: Aug. 15, 2007
Optoelectronics and Advanced Materials - Rapid Communications
(2024): Impact Factor = 0.4 - Journal Citation Reports (Clarivate Analytics, 2025)
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