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An Automated Multichannel Procedure for cDNA Microarray Image Processing

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Image Analysis and Recognition (ICIAR 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3212))

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Abstract

In this paper, an automated multichannel procedure capable of processing cDNA microarray images is presented. Using a cascade of nonlinear filtering solutions based on robust order-statistics, the procedure removes both background and high-frequency corrupting noise, and correctly identifies edges and spots in cDNA microarray data. Since the method yields excellent performance by removing noise and enhancing spot location determination, the proposed set of cascade operations constitute the perfect tool for subsequent microarray analysis and gene expression tasks.

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Author information

Authors and Affiliations

  1. The Edward S. Rogers Sr. Dept. of Electrical and Computer Engineering, University of Toronto, 10 King’s College Road, Toronto, M5S 3G4, Canada

    Rastislav Lukac, Konstantinos N. Plataniotis & Anastasios N. Venetsanopoulos

  2. Polish-Japanese Institute of Information Technology, Koszykowa 86 Str, 02-008, Warsaw, Poland

    Bogdan Smolka

Authors
  1. Rastislav Lukac
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  2. Konstantinos N. Plataniotis
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  3. Bogdan Smolka
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  4. Anastasios N. Venetsanopoulos
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Editor information

Editors and Affiliations

  1. FEUP - Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias, 4200-465, Porto, Portugal

    Aurélio Campilho

  2. Electrical and Computer Engineering Department, University of Waterloo,  

    Mohamed Kamel

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© 2004 Springer-Verlag Berlin Heidelberg

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Lukac, R., Plataniotis, K.N., Smolka, B., Venetsanopoulos, A.N. (2004). An Automated Multichannel Procedure for cDNA Microarray Image Processing. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2004. Lecture Notes in Computer Science, vol 3212. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30126-4_1

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  • DOI: https://doi.org/10.1007/978-3-540-30126-4_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23240-7

  • Online ISBN: 978-3-540-30126-4

  • eBook Packages: Springer Book Archive

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