2 research outputs found
A novel Gaussian fitting approach for 2D gel electrophoresis saturated protein spots
Analysis of 2D-GE images is a hot topic in bioinformatics research, since currently available commercial
and academic software has proven to be not really effective and not completely automatic, often requiring
manual revision of spots detection and refinement of computer generated matches. In this work, we present
an effective technique for the detection and the reconstruction of over-saturated protein spots.
Firstly, it reveals overexposed areas where spots may be truncated, and plateau regions caused by smeared
and overlapped spots. As next, the correct distribution of pixel values in the overexposed areas and plateau
regions is recovered by a two-dimensional fitting based on a generalized Gaussian distribution approximating
the spots volume. Pixel correction according to the generalized Gaussian curve in saturated and smeared
spots allows more accurate quantifications, providing more reliable image analysis results.
As validation, we process highly exposed 2D-GE image, containing saturate spots, with respect to the corresponding
non-saturated image, confirming that the method can effectively fix the saturated spots and enable
correct spots quantification
A novel Gaussian fitting approach for 2D gel electrophoresis saturated protein spots
Analysis of 2D-GE images is a hot topic in bioinformatics research, since currently available commercial
and academic software has proven to be not really effective and not completely automatic, often requiring
manual revision of spots detection and refinement of computer generated matches. In this work, we present
an effective technique for the detection and the reconstruction of over-saturated protein spots.
Firstly, it reveals overexposed areas where spots may be truncated, and plateau regions caused by smeared
and overlapped spots. As next, the correct distribution of pixel values in the overexposed areas and plateau
regions is recovered by a two-dimensional fitting based on a generalized Gaussian distribution approximating
the spots volume. Pixel correction according to the generalized Gaussian curve in saturated and smeared
spots allows more accurate quantifications, providing more reliable image analysis results.
As validation, we process highly exposed 2D-GE image, containing saturate spots, with respect to the corresponding
non-saturated image, confirming that the method can effectively fix the saturated spots and enable
correct spots quantification