  We propose a computational method to quantitatively evaluate the systematic
uncertainties that arise from undetectable sources in biological measurements
using live-cell imaging techniques. We then demonstrate this method in
measuring biological cooperativity of molecular binding networks: in
particular, ligand molecules binding to cell surface receptor proteins. Our
results show how the non-statistical uncertainties lead to invalid
identification of the measured cooperativity. Through this computational
scheme, the biological interpretation can be more objectively evaluated and
understood under a specific experimental configuration of interest.
