During the last decade molecular genetics has gone through great transformation. One of these changes has been the advent of Microarray technology. Microarray is a powerful tool for analysis and study of thousands of genes simultaneously. A bottleneck in this technology is the time that is required to process the produced images. This part is currently done by software routines. In this paper, a pipeline architecture is presented for processing, compression and transmission of Microarray images. The suggested design is completely modular and expandable and hence, it is suitable for implementation by VLSI standard cells techniques. The complexity of the hardware is only a function of the width of images and not their lengths. The required time for processing, compression and transmission of a 256×256 image is in order of milliseconds.
Samavi,S. , Davarpanah Djazi,M. , Karimi,N. and Shirani,S. (2003). Processing and Compression of Microarray Images by Pipelining. (e215815). The CSI Journal on Computer Science and Engineering, 1(3), e215815
MLA
Samavi,S. , , Davarpanah Djazi,M. , , Karimi,N. , and Shirani,S. . "Processing and Compression of Microarray Images by Pipelining" .e215815 , The CSI Journal on Computer Science and Engineering, 1, 3, 2003, e215815.
HARVARD
Samavi S., Davarpanah Djazi M., Karimi N., Shirani S. (2003). 'Processing and Compression of Microarray Images by Pipelining', The CSI Journal on Computer Science and Engineering, 1(3), e215815.
CHICAGO
S. Samavi, M. Davarpanah Djazi, N. Karimi and S. Shirani, "Processing and Compression of Microarray Images by Pipelining," The CSI Journal on Computer Science and Engineering, 1 3 (2003): e215815,
VANCOUVER
Samavi S., Davarpanah Djazi M., Karimi N., Shirani S. Processing and Compression of Microarray Images by Pipelining. CSIonJCSE, 2003; 1(3): e215815.
The CSI Journal on Computer Science and Engineering