cDNA Microarray Image Analysis

Tozduman E., VARLI S.

14th National Biomedical Engineering Meeting, İzmir, Türkiye, 20 - 22 Mayıs 2009, ss.235-238, (Tam Metin Bildiri) identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/biyomut.2009.5130308
  • Basıldığı Şehir: İzmir
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.235-238
  • Yıldız Teknik Üniversitesi Adresli: Evet

Özet

cDNA microarray image analysis has grown very important these days because of the growing field which it's part of: microarray erpression analysis. In this work we propose a new cDNA microarray image analysis system. A cDNA microarray analysis system consists of three main parts which are Gridding, Segmentation and Information Extraction, respectively. In gridding stage we propose a new automated gridding technique which is based on mathematical morphology. For segmentation we propose two different algorithm which are based on K-Means clustering and Fuzzy C-Means clustering respectively. On the final stage, information extraction, our proposed system uses a classical approach which calculates background values locally. The proposed system has open parts in the way of developement and is still being worked on.