Ovarian cancer is the most common malignancy of the female reproductive system worldwide, and the leading cause of death from gynecological cancer. However, if diagnosed during the early stages, patients have a good prognosis, at around 90% 5-year survival rate. Despite its lethality, there are currently no effective simple tests for diagnosis nor population-based screening techniques for ovarian cancer. Emerging tests detecting cancer biomarkers have the potential for greatest impact for surveillance and early detection, such as the FDA approved CA125 and HE4 biomarkers. Importantly, because the levels of these biomarkers are not the same among all healthy females and increase with age, these tests should be quantitative. Current quantitative diagnostic tests for CA125 and HE4 detection are expensive, require high-cost infrastructures and trained professionals. Therefore, there is an urgent need for developing cheap, reliable, easy-to-use quantitative tests for ovarian cancer biomarkers. Lateral flow tests (e.g. pregnancy tests) are cheap, easy-to-use but not designed to be quantitative. In this project, ground-breaking innovating research will give rise to the next generation lateral flow technology, enabling the detection of cancer biomarkers in a manner that is quantitative, and yet simple, portable and cheap.