GASepo-a software solution for quantitative analysis of digital images in Epo doping control

Area of Science:

• Biochemistry
• Analytical Chemistry
• Sports Science

Background:

• Recombinant erythropoietin (EPO) abuse is a significant concern in sports doping.
• Accurate detection of EPO doping relies on sophisticated analytical techniques like isoelectric focusing and double blotting.
• Existing methods require robust software for quantitative image analysis.

Purpose of the Study:

• To introduce GASepo, a novel software tool for the quantitative analysis of images from EPO doping control.
• To provide WADA-accredited laboratories with a unified and user-friendly solution for EPO doping analysis.
• To enhance the accuracy and efficiency of EPO doping detection.

Main Methods:

• Development of a software tool, GASepo, based on image segmentation.
• Implementation of modules for robust cut-off line calculation.
• Inclusion of specific algorithms for band segmentation and classification.

Main Results:

• GASepo enables precise identification of individual bands in isoelectric focusing and double blotting images.
• The software facilitates the evaluation of EPO doping positivity criteria.
• GASepo has been successfully implemented in several international doping control laboratories.

Conclusions:

• GASepo offers a reliable and efficient solution for quantitative analysis in EPO doping control.
• The software's advanced algorithms improve the accuracy of doping detection.
• GASepo represents a valuable asset for WADA-accredited laboratories worldwide.