%0 Journal Article %1 hope2014detection %D 2014 %E Hope, Dr.Martin %J Int. J. on Recent Trends in Engineering and Technology, %K Image Microarray_ cDNA_ %N 1 %P 5 %T Spot Edge Detection in cDNA Microarray Images using Window based Bi-Dimensional Empirical Mode Decomposition %U http://searchdl.org/public/journals/2014/IJRTET/10/1/21.pdf %V 10 %X Ongoing Microarray is an increasingly playing a crucial role applied in the field of medical and biological operations. The initiator of Microarray technology is M. Schena et al. 1 and from past few years microarrays have begun to be used in many fields such as biomedicine, mostly on cancer and Diabetic, and medical diagnoses. A Deoxyribonucleic Acid (DNA) microarray is a collection of microscopic DNA spots attached to a solid surface, such as glass, plastic or silicon chip forming an array. Processing of DNA microarray image analysis includes three tasks: gridding, segmentation and intensity extraction and at the stage of processing, the irregularities of shape and spot position which leads to generate significant errors. This article presents a new spot edge detection method using Window based Bi-dimensional Empirical Mode Decomposition. On separating spots form the background area and to decreases the probability of errors and gives more accurate information about the states of spots we are proposing a spot edge detection via WBEMD. By using this method we can identify the spots with low density, which leads to increasing the performance of cDNA microarray images.

@article{hope2014detection, abstract = {Ongoing Microarray is an increasingly playing a crucial role applied in the field of medical and biological operations. The initiator of Microarray technology is M. Schena et al. [1] and from past few years microarrays have begun to be used in many fields such as biomedicine, mostly on cancer and Diabetic, and medical diagnoses. A Deoxyribonucleic Acid (DNA) microarray is a collection of microscopic DNA spots attached to a solid surface, such as glass, plastic or silicon chip forming an array. Processing of DNA microarray image analysis includes three tasks: gridding, segmentation and intensity extraction and at the stage of processing, the irregularities of shape and spot position which leads to generate significant errors. This article presents a new spot edge detection method using Window based Bi-dimensional Empirical Mode Decomposition. On separating spots form the background area and to decreases the probability of errors and gives more accurate information about the states of spots we are proposing a spot edge detection via WBEMD. By using this method we can identify the spots with low density, which leads to increasing the performance of cDNA microarray images.}, added-at = {2014-02-01T07:26:18.000+0100}, biburl = {https://www.bibsonomy.org/bibtex/2175e9d670557d9dab62b589559f87b4e/idescitation}, editor = {Hope, Dr.Martin}, interhash = {651633e6f7faa75e128f93343be15cbc}, intrahash = {175e9d670557d9dab62b589559f87b4e}, journal = {Int. J. on Recent Trends in Engineering and Technology,}, keywords = {Image Microarray_ cDNA_}, month = {Jan 2014}, number = 1, pages = 5, timestamp = {2014-02-01T07:26:18.000+0100}, title = {Spot Edge Detection in cDNA Microarray Images using Window based Bi-Dimensional Empirical Mode Decomposition}, url = {http://searchdl.org/public/journals/2014/IJRTET/10/1/21.pdf}, volume = 10, year = 2014 }