Show simple item record

dc.contributor.authorGürcan, Metin Nafien_US
dc.contributor.authorKoyutürk, Mehmeten_US
dc.contributor.authorYıldız, H. Serkanen_US
dc.contributor.authorÇetin Atalay, Rengülen_US
dc.contributor.authorÇetin, A. Enisen_US
dc.coverage.spatialPittsburgh, Pennsylvania, USA
dc.date.accessioned2016-02-08T11:59:29Z
dc.date.available2016-02-08T11:59:29Z
dc.date.issued1998-10en_US
dc.identifier.urihttp://hdl.handle.net/11693/27682
dc.descriptionDate of Conference: 6-9 Oct. 1998
dc.descriptionConference name: Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis
dc.description.abstractPolyacrylamide Gel Electrophoresis (PAGE) is one of the most widely used techniques in protein research. In the protein purification process, it is important to determine the efficiency of each purification step in terms of percentage of protein of interest found in the protein mixture. This study provides a rapid and reliable way to determine this percentage. The region of interest containing the protein is detected using the snake algorithm. The iterative snake algorithm is implemented in a multiresolutional framework. The snake is initialized on a low resolution image. Then, the final position of the snake at low resolution is used as the initial position in the higher resolution image. Finally, tile area of the protein is estimated as the area enclosed by the final position of the snake.en_US
dc.language.isoEnglishen_US
dc.source.titleProceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysisen_US
dc.relation.isversionofhttps://doi.org/10.1109/TFSA.1998.721415
dc.subjectAlgorithmsen_US
dc.subjectImage processingen_US
dc.subjectIterative methodsen_US
dc.subjectProteinsen_US
dc.subjectPurificationen_US
dc.subjectImage resolutionen_US
dc.subjectIterative snake algorithmen_US
dc.subjectPolyacrylamide gel electrophoresis (PAGE)en_US
dc.subjectElectrophoresisen_US
dc.titleIdentification of relative protein bands in Polyacrylamide Gel Electrophoresis (PAGE) using multiresolution snake algorithmen_US
dc.typeConference Paperen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.departmentDepartment of Molecular Biology and Geneticsen_US
dc.citation.spage277en_US
dc.citation.epage280en_US
dc.identifier.doi10.1109/TFSA.1998.721415
dc.publisherIEEEen_US
dc.contributor.bilkentauthorÇetin, A. Enis
buir.contributor.orcidÇetin, A. Enis|0000-0002-3449-1958en_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record