International Journal of Electrical, Electronics and Data Communication (IJEEDC)
eISSN:2320-2084 , pISSN:2321-2950
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Statistics report
Feb. 2021
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 96
Paper Published : 1475
No. of Authors : 3997
  Journal Paper

Paper Title
cDNA Image Processing Using FPGA

A collection of microscopic DNA spots attached to a solid surface, like as a glass, plastic, or silicon chip forming an array is a deoxyribonucleic acid (DNA) microarray. In modern biomedical research DNA microarray technologies are an essential part. Hundreds of thousands of different DNA nucleotide sequences are compressed in a little microscope glass allowed by DNA micro array. All this information is transformed as a single image. Identification of gene expressions is done from analysis of DNA microarray images to draw biological conclusions for applications ranging from genetic profiling to cancer diagnosis. Unfortunately, a high variation of data quality is found in DNA microarray technology. Complex and extensive image analysis algorithms should be applied to obtain reliable results before the actual DNA microarray information can be used for biomedical purpose. Here a novel hardware architecture that is specifically designed to analyze DNA microarray images is presented. The proposed architecture presented is implementation of a field-programmable-gate-array (FPGA)-based prototypal. The effectiveness of the novel architecture is demonstrated by several analyses performed on DNA microarray images, which shows that the capability to detect DNA spots increases by more than the 30% corresponding to that of previously developed software techniques. Keywords— Deoxyribonucleic acid (DNA) microarray, field-programmable gate array (FPGA), edge detection, image data processing, segmentation.

Author - Neha N.Gawande, S.T.Khot

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| Published on 2015-04-04
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