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Microarray spot segmentation algorithm based on integro-differential operator
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DOI：10.1016/j.eij.2019.04.001.png)
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Abstract
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Microarray technology has increased exponentially in the past few years. Such technology encompasses various applications related to drug design, tumor detection, clinical diagnosis and treatment, and environmental health research. However, the segmentation of the spots in microarray image is still a problem due to variations of spots qualities such as spots shapes and sizes for example. Hence, we have introduced a new microarray spot segmentation algorithm based on Integro-Differential Operator (IDO). Because it includes a spot detection step, this IDO can be used to find any spot regardless of its size and shape within the microarray image. The IDO algorithm is applied on the cDNA microarray images to improve the accuracy and the efficiency of the spots segmentation process. As the IDO is able to segment each spot based on the fact that the illumination difference between the inside and the outside of the pixels in spot edge circle is maximum. We have also tested our algorithm on the Stanford Microarray Database (SMD). The numerical results show that, the IDO is a powerful technique to improve the overall spots segmentation on the microarray image and to also give better results in spot segmentation and analysis process. (C) 2019 Production and hosting by Elsevier B.V. on behalf of Faculty of Computers and Information, Cairo University.
Keywords:
Integro-differential operator
cDNA microarray spot image analysis
cDNA microarray spot image segmentation
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