Microarray Image Processing and Quality Control

  • Authors:
  • Anton Petrov;Soheil Shams

  • Affiliations:
  • BioDiscovery Inc., 100 N. Sepulveda Blvd., Suite 1230, El Segundo, CA 90245, USA;BioDiscovery Inc., 100 N. Sepulveda Blvd., Suite 1230, El Segundo, CA 90245, USA

  • Venue:
  • Journal of VLSI Signal Processing Systems
  • Year:
  • 2004

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Abstract

Image processing is an important stage of every microarray experiment. Reliability of this stage strongly influences the results of data analysis performed on extracted gene expressions. Multiple methods related to array recognition, spot segmentation and measurement extraction have emerged in this area over past several years. Currently there are various commercial and freeware packages available, which perform microarray image analysis. This paper attempts to review microarray image analysis as a whole and to make some experimental comparison of several computational schemes for signal segmentation and measurement extraction. Also we provide a detailed discussion of automated image quality control for use with microarray images.