Biomarkers are routinely used for detection and identification of pathology in tissues. Their specific molecular makeup can be detected using established biochemical assays. Critically, biomarkers also possess unique optical properties, enabling detection using light. However, detection of biomarkers in ex vivo or in vivo is non-trivial. The optical signatures and fluorescence are often attenuated or masked by other bio-molecules, especially haemoglobin. By combining custom multi-spectral detection systems with advanced statistical analysis and machine learning, Tyndall National Institute has the capability to design and test quantitative data processing algorithms. Furthermore, Tyndall is capable of integrating the algorithms with detection systems to automatically calculate the concentration of bio-molecule of interest.