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cDNA Microarray Basics
cDNA Microarray Imaging
cDNA Image Noise
cDNA Characteristics
cDNA Image Denoising
cDNA Data Normalization
cDNA Spot Localization
cDNA Spot Segmentation

 

cDNA Image Noise

A number of impairments, resulting from the nature of cDNA microarray technology, affect the cDNA microarray image formation. Therefore, microarray images exhibit variations in intensity attributed mainly to variations in the image background, variations in the spot sizes and positions, artifacts caused by laser light reflection and dust on the glass slide, and photon and electronic noise introduced during scanning.
 


Acquired cDNA image

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Ideal cDNA image

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Noise signal

 

Due to numerous noise sources in cDNA microarray technology, the microarray image formation is a complicated, nonlinear process influenced by many factors. The various image impairments can be represented by a noise signal with the vectorial samples considered random in nature. The acquired cDNA image can be modeled using the additive noise model with ideal and noise signals considered as the input. The noise signal is considered either impulsive in nature or it can be modeled as mixed noise, i.e. white additive Gaussian noise followed by impulsive noise.

References:

 
bulletR. Lukac and K.N. Plataniotis, "cDNA Microarray Image Segmentation Using Root Signals,"  International Journal of Imaging Systems and Technology, vol. 16, no. 2, pp. 51-64, April 2006.
bulletR. Lukac, K.N. Plataniotis, B. Smolka, and A.N. Venetsanopoulos, "cDNA Microarray Image Processing Using Fuzzy Vector Filtering Framework," Fuzzy Sets and Systems, Special Issue on Fuzzy Sets and Systems in Bioinformatics, vol. 152, no. 1, pp.17-35, May 2005.
bulletR. Lukac, K.N. Plataniotis, B. Smolka, and A.N. Venetsanopoulos, "A Multichannel Order-Statistic Technique for cDNA Microarray Image Processing," IEEE Transactions on NanoBioscience, vol. 3, no. 4, pp. 272-285, December 2004.

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Last update: 10/15/06

2006 Rastislav Lukac