18 September 2001 New image fusion method applied in two-wavelength detection of biochip spots
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Proceedings Volume 4556, Data Mining and Applications; (2001); doi: 10.1117/12.440306
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China
Abstract
In the biological systems genetic information is read, stored, modified, transcribed and translated using the rule of molecular recognition. Every nucleic acid strand carries the capacity to recognize complementary sequences through base paring. Molecular biologists commonly use the DNA probes with known sequence to identify the unknown sequence through hybridization. There are many different detection methods for the hybridization results on a genechip. Fluorescent detection is a conventional method. The data analysis based on the fluorescent images and database establishment is necessary for treatment of such a large-amount obtained from a genechip. The unknown sequence has labeled with fluorescent material. Since the excitation and emission band is not a theoretical narrow band. There is a different in emission windows for different microscope. Therefore the data reading is different for different microscope. We combine two narrow band emission data and take it as two wavelengths from one fluorescence. Which by corresponding UV light excitation after we read the fluorescent intensity distribution of two microscope wavelengths for same hybridization DNA sequence spot, we will use image fusion technology to get best resultsDWe introduce a contrast and aberration correction image fusion method by using discrete wavelet transform to two wavelengths identification microarray biochip. This method includes two parts. First, the multiresolution analysis of the two input images are obtained by the discrete wavelet transform, from the ratio of high frequencies to the low frequency on the corresponding spatial resolution level, the directive contrast can be estimated by selecting the suitable subband signals of each input image. The fused image is reconstructed using the inverse wavelet transform.
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Rang-Seng Chang, Jin-Yi Sheu, Ching-Huang Lin, "New image fusion method applied in two-wavelength detection of biochip spots", Proc. SPIE 4556, Data Mining and Applications, (18 September 2001); doi: 10.1117/12.440306; https://doi.org/10.1117/12.440306
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KEYWORDS
Image fusion

Microscopes

Distortion

Luminescence

Image filtering

Spatial resolution

Discrete wavelet transforms

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