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Abstract
The gray value method can be used to detect gray value changes of each unit almost parallel to the surface image of PSi (porous silicon) microarrays and indirectly measure the refractive index changes of each unit. However, the speckles of different noise intensities produced by lasers on a porous silicon surface have different effects on the gray value of the measured image. This results in inaccurate results of refractive index changes obtained from the change in gray value. Therefore, it is very important to reduce the influence of speckle noise on measurement results. In this paper, a new algorithm based on the concepts of probability-based nonlocal-means filtering (PNLM), gradient operator, and median filtering is proposed for gray value restoration of porous silicon microarray images. A good linear relationship between gray value change and refractive index change is obtained, which can reduce the influence of speckle noise on the gray value of the PSi microarray image, improving detection accuracy. This means the method based on gray value change detection can be applied to the biological detection of PSi microarray arrays.
Highlights
The biochip is a new technology developed by research of the human genome project
In order to study the influence of speckle noise on the gray value of the image, speckle noise with intensities of 0 to 1 was added to the gray value image and each group of gray values was experimented with 2500 images, respectively
Through drawing observations and data research, it was found that the image gray value increased with the increase of speckle noise intensity
Summary
The biochip (microarray chip) is a new technology developed by research of the human genome project. Among many label-free detection technologies, the image gray value detection method of porous silicon photonic crystal bio-microarray is a new parallel quantitative detection technology of bio-array chips that is label-free, has high measurement sensitivity, and is cost-effective [6,7]. The change of the refractive index can be measured by the gray value changes of reflection or transmission images of the PSi microcavity acquired by CCD (Charge-coupled Device) the on angle spectrum method [14,15]. Due to the rough surface of PSi, interference among the scattered laser rays results in speckle noise on CCD [17] This noise reduces the resolution and contrast of the image, and causes changes in the image gray values [18]. The experimental results show that the proposed method can restore the gray value affected by speckle noise very well
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