Microarray Image Spot Segmentation Using the Method of Projections
Microarray technology is increasingly used as a means of high throughput analysis of human, non-human and plant genomes. Manual methods of array production using this technology lead to many inherent problems in the microarray image produced. The density of the spots in the images produced is very high, such that neighboring spots can overlap. The image background is often not uniform, containing noise that is often difficult to distinguish from actual spots. In this research, a projections-based approach is investigated for spot segmentation in paired radio probe microarray images. An important aspect of spot segmentation is the capability to perform corresponding spot-to-spot comparisons between the paired images. Experimental results are presented for spot segmentation in isolated and paired microarray images.
R. J. Stanley et al., "Microarray Image Spot Segmentation Using the Method of Projections," Biomedical Sciences Instrumentation, vol. 38, pp. 387-392, ISA - Instrumentation, Systems, and Automation Society, Feb 2002.
Electrical and Computer Engineering
Keywords and Phrases
Genes; Image Segmentation; Plants (botany); Technology; Miroarray Images; Biomedical Engineering; Algorithm; Analytic Method; Dna Microarray; Human; Image Analysis; Isolation Procedure; Noise; Nonhuman; Plant Genetics; Algorithms; Humans; Image Enhancement; Neoplasms; Oligonucleotide Array Sequence Analysis; Image Processing; Method of Projections; Microarray
International Standard Serial Number (ISSN)
Article - Journal
© 2002 ISA - Instrumentation, Systems, and Automation Society, All rights reserved.