Abstract
The present paper proposes an adaptive hardware implementation for a microarray image acquisition system, which is mandatory for implementing hardware algorithms for processing microarray images. Processing techniques for microarray image are also described, together with a hardware implementation of a spot border detection algorithm. The hardware implementation takes advantage of parallel computation capabilities offered by FPGA technology. Results which prove time and cost efficiency are presented for both hardware implementations.
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Belean, B., Borda, M., Fazakas, A. (2008). Adaptive Microarray Image Acquisition System and Microarray Image Processing Using FPGA Technology. In: Lovrek, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2008. Lecture Notes in Computer Science(), vol 5179. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85567-5_41
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DOI: https://doi.org/10.1007/978-3-540-85567-5_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85566-8
Online ISBN: 978-3-540-85567-5
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