The pH of tumors and surrounding tissues is a key biophysical property of the tumor microenvironment that affects how a tumor survives and how it invades the surrounding space of normal tissue. Research into tumorigenesis and tumor treatment is greatly dependent on accurate, precise, and reproducible measurements. Optical imaging is generally regarded as the best choice for non-invasive and high spatial resolution measurements. Ratiometric fluorescence imaging and fluorescence lifetime imaging microscopy (FLIM) are two primary ways for measuring tumor pH.

pH measurements in a window chamber animal model using a ratiometric fluorescence imaging technique is demonstrated in this dissertation. The experimental setup, imaging protocols, and results are presented. A significantly varying bias was consistently observed in the measured pH. A comprehensive analysis on the possible error sources accounting for this bias is carried out. The result of analysis reveals that accuracy of ratiometric method is most likely limited by biological and physiological factors.

FLIM is a promising alternative because the fluorescence lifetime is insensitive to the biological and physiological factors. Photon noise is the predominant error source of FLIM. The Fisher information matrix and the Cramér-Rao lower bound are used to calculate the lowest possible variance of estimated lifetime for time-domain (TD) FLIM. A statistical analysis of frequency-domain (FD) FLIM using homodyne lock-in detection is also performed and the probability density function of the estimated lifetime is derived. The results allow the derivation of the optimum experimental parameters, which yields the lowest variance of the estimated lifetime in a given period of imaging time. The analyses of both TD and FD-FLIM agree with results of corresponding Monte Carlo simulations.