Advanced strategies to acquire, extract and analyze the signals produced in both the bead-based and the membrane-based platforms are crucial to ensure efficient and accurate assessment of key measurements such as biomarker presence, levels, or concentration, as well as biomarker expression and cytomorphological parameters on cellular materials.
Custom-based algorithms based on regional pixel analysis serve to transduce the complex optical signals captured by a CCD camera in an automated manner, in single as well as batch processing. Chemical and biological signals are transformed into digital and analog values and recorded in a database. User interface environments are created to efficiently (quickly and easily) manipulate large data sets, and provide advanced graphical and plotting snapshot capabilities, typically only encountered in high-end mathematical software. Advanced multi-variate analysis methods are evaluated for data mining and model development to identify the best candidate panels of biomarkers and parameters that display the highest clinical sensitivity and specificity, i.e. those that are best able to discriminate between disease and health status of various stages of disease progression.