Open Access

Microarray BASICA: Background Adjustment, Segmentation, Image Compression and Analysis of Microarray Images

  • Jianping Hua1Email author,
  • Zhongmin Liu2,
  • Zixiang Xiong1,
  • Qiang Wu2 and
  • Kenneth R. Castleman2
EURASIP Journal on Advances in Signal Processing20042004:482358

DOI: 10.1155/S1110865704309200

Received: 14 March 2003

Published: 21 January 2004


This paper presents microarray BASICA: an integrated image processing tool for background adjustment, segmentation, image compression, and analysis of cDNA microarray images. BASICA uses a fast Mann-Whitney test-based algorithm to segment cDNA microarray images, and performs postprocessing to eliminate the segmentation irregularities. The segmentation results, along with the foreground and background intensities obtained with the background adjustment, are then used for independent compression of the foreground and background. We introduce a new distortion measurement for cDNA microarray image compression and devise a coding scheme by modifying the embedded block coding with optimized truncation (EBCOT) algorithm (Taubman, 2000) to achieve optimal rate-distortion performance in lossy coding while still maintaining outstanding lossless compression performance. Experimental results show that the bit rate required to ensure sufficiently accurate gene expression measurement varies and depends on the quality of cDNA microarray images. For homogeneously hybridized cDNA microarray images, BASICA is able to provide from a bit rate as low as 5 bpp the gene expression data that are % in agreement with those of the original 32 bpp images.

Keywords and phrases

microarray BASICA segmentation Mann-Whitney test lossy-to-lossless compression EBCOT

Authors’ Affiliations

Department of Electrical Engineering, Texas A&M University
Advanced Digital Imaging Research


© Hua et al. 2004