首页|Efficient Quantitative Information Extraction from PCR-RFLP Gel Electrophoresis Images
Efficient Quantitative Information Extraction from PCR-RFLP Gel Electrophoresis Images
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
For the purpose of PCR-RFLP analysis， as in the case of human papillomavirus (HPV) typing， quantitative information needs to be extracted from images resulting from one-dimensional gel electrophoresis by associating the image intensity with the concentration of biological material at the corresponding position on a gel matrix。 However， the background intensity of the image stands in the way of quantifying this association。 We propose a novel， efficient methodology for modeling the image background with a polynomial function and prove that this can benefit the extraction of accurate information from the lane intensity profile when modeled by a superposition of properly shaped parametric functions。
PCR-RFLPbackground component subtractiongel electrophoresispolynomial model
Christos Maramis、Anastasios Delopoulos
展开 >
Dept. of Electr. & Comput. Eng., Aristotle Univ. of Thessaloniki, Thessaloniki, Greece
Istanbul(TR)
2010 20th International Conference on Pattern Recognition
NETL
