Compression of cDNA and inkjet microarray images
Jornsten, R.
Bin Yu
Wei Wang
Ramchandran, K.
California Univ., Berkeley, CA, USA;
This paper appears in: Image Processing. 2002. Proceedings. 2002 International Conference on
Publication Date: 24-28 June 2002
Volume: 3,
On page(s): 961- 964 vol.3
ISSN: 1522-4880
ISBN: 0-7803-7622-6
INSPEC Accession Number: 7614279
Digital Object Identifier: 10.1109/ICIP.2002.1039134
Current Version Published: 2002-12-10
Abstract
Microarray image technology is a powerful tool for monitoring the expression of thousands of genes simultaneously. Each microarray experiment produces immense amounts of image data, and efficient storage and transmission requires compression that utilizes the microarray image's structure and unique analysis goals. We have developed a progressive compression scheme for microarray images which can be either lossy or lossless. Our scheme has a coded data structure that allows fast decoding and reprocessing of image subsets, and includes summary statistics and image segmentation information. Since visual fidelity is not the end goal for microarray images, we introduce a new measure of distortion for lossy compression: the sensitivity of microarray information extraction to compression loss. We find that a lossy compression ratio of 8:1 for cDNA microarrays minimally affects downstream processing. The average lossless compression ratio is 1.83:1 for cDNA images and 2.43:1 for inkjet images, comparable to state-of-the-art lossless schemas, yet with added flexibility and information.
Index
Terms
Available to subscribers and IEEE members.
References
Available to subscribers and IEEE members.
Citing Documents
Available to subscribers and IEEE members.
Cart
