A Block-matching based technique for the analysis of 2D gel images

Ana Freire, José A Seoane, Alvaro Rodríguez, Cristina Ruiz-Romero, Guillermo López-Campos, Julián Dorado

Research output: Contribution to journalArticle (Academic Journal)peer-review

2 Citations (Scopus)


Research at protein level is a useful practice in personalized medicine. More specifically, 2D gel images obtained after electrophoresis process can lead to an accurate diagnosis. Several computational approaches try to help the clinicians to establish the correspondence between pairs of proteins of multiple 2D gel images. Most of them perform the alignment of a patient image referred to a reference image. In this work, an approach based on block-matching techniques is developed. Its main characteristic is that it does not need to perform the whole alignment between two images considering each protein separately. A comparison with other published methods is presented. It can be concluded that this method works over broad range of proteomic images, although they have a high level of difficulty.
Original languageEnglish
Pages (from-to)1282-6
Number of pages5
JournalStudies in Health Technology and Informatics
Issue numberPt 2
Publication statusPublished - 2010


  • Electrophoresis, Gel, Two-Dimensional
  • Proteins
  • Image Processing, Computer-Assisted

Fingerprint Dive into the research topics of 'A Block-matching based technique for the analysis of 2D gel images'. Together they form a unique fingerprint.

Cite this