Digital Image Processing Using MATLAB
Digital Image Processing Using MATLAB
| Hi-index | 0.00 |
Oligonucleotide Microarrays technologies offer the possibility of simultaneously monitoring thousands of hybridi-zation reactions. These arrays show high potential for many medical and scientific applications as gene expression monitoring, sequence analysis, and genotyping. This is possible because high densities of probe tests may be included in the surface of silicide compounds. Nevertheless Microarrays are exposed to errors during manufacturing, similar to silicon circuit electronics and the hybridization process may be contaminated by different reasons. Other source of errors is due to optical noise during scanning and processing, or to interactions between molecular structures and light (dispersion among others). To reduce some of these effects are used replicates of experiments with the cost of increasing expenses. In order to detect noise contamination in Microarray Data Images well-known computational techniques are proposed to help in visual analysis. The use of image transformation from the space domain to the frequency domain gives the possibility of processing it with filtering algorithms for image enhancement. Some experiments with Escherichia Coli Antisense microarray are shown to check the effectiveness of these approaches.