Publicação

Lane background removal in thin-layer chromatography images using continuous wavelet

Detalhes bibliográficos
Resumo:	This paper describes a new methodology to remove the background of the lanesin Thin-Layer Chromatography (TLC) images aiming at improving subsequentband detection. The storage of the biological samples to be analysed by TLC isusually done via plastic containers. Filter paper is an alternative that allowsreduced costs and higher portability, but with consequences in the image analysisstage due to a lane background alteration. In order to overcome this problem, anegative control lane is generated in every chromatographic plate. After preprocessingand lane detection stages a one-dimensional intensity profile is usedfor integrating lane information and the background influence is removed withthe help of the Continuous Wavelet Transform (CWT) decomposition. Theproposed method was tested in 78 lane images, A band detection algorithm wasapplied on lane profiles, and a superior detection rate was achieved for thebackground removed lanes.
País:	Portugal
Tipo de documento:	livro
Tipo de acesso:	Aberto
Instituição associada:	Repositório Aberto da Universidade do Porto
Idioma:	inglês
Origem:	Repositório Aberto da Universidade do Porto

Descrição
Resumo:	This paper describes a new methodology to remove the background of the lanesin Thin-Layer Chromatography (TLC) images aiming at improving subsequentband detection. The storage of the biological samples to be analysed by TLC isusually done via plastic containers. Filter paper is an alternative that allowsreduced costs and higher portability, but with consequences in the image analysisstage due to a lane background alteration. In order to overcome this problem, anegative control lane is generated in every chromatographic plate. After preprocessingand lane detection stages a one-dimensional intensity profile is usedfor integrating lane information and the background influence is removed withthe help of the Continuous Wavelet Transform (CWT) decomposition. Theproposed method was tested in 78 lane images, A band detection algorithm wasapplied on lane profiles, and a superior detection rate was achieved for thebackground removed lanes.