Abstract
This paper focuses on microarray image analysis and discusses a completely automated approach to image processing, which eliminates human intervention. A system for automated image processing is described, which is capable of processing image files in a batch-mode thus allowing high-throughput of microarray image analysis. Grid-placement and spot finding are achieved without operator's help. The software eliminates noise signals from the data analysis process and minimizes operator's involvement in the procedure.
Similar content being viewed by others
References
Brown, P.O. & D. Botstein, 1999. Exploring the new world of the genome with DNA microarrays. Nature Genet. Suppl. 21: 33–37.
Debouck, C. & P.N. Goodfellow, 1999. DNA microarrays in drug discovery and development. Nature Genet. Suppl. 21: 48–50.
Duggan, D.J., M. Bittner, Y. Chen, P. Meltzer & J.M. Trent, 1999. Expression profiling using cDNA microarrays. Nature Genet. Suppl. 21: 10–14.
Kuklin, A., 1999. Using array image analysis to combat HTS bottlenecks. GEN 19(19): 32.
Kalocsai, P. & S. Shams, 1999. Visualization and analysis of gene expression data. JALA 4(5): 58–61.
Rose, D., 1998. Application of a novel microarraying system on genomics research and drug discovery. JALA 3(3): 45–48.
Rose, D. & M. Faughan, 1999. DNA Microarray Handbook. Cartesian Technologies (www.cartesiantech.com), Irvine, CA.
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Kuklin, A., Shams, S. & Shah, S. High Throughput Screening of Gene Expression Signatures. Genetica 108, 41–46 (2000). https://doi.org/10.1023/A:1004087525565
Issue Date:
DOI: https://doi.org/10.1023/A:1004087525565