Temporal Modulation in Fluorescence Spectroscopy and Imaging for Biological Applications

Abstract: This thesis explores the benefits of intensity modulation for the purpose of extending the range of applications of fluorescence spectroscopy and imaging in cellular and molecular biology and medicine.Long-lived transient states of fluorescent molecules can, because of their long lifetimes, be used to detect subtle changes in the microenvironment of the molecule. A method for determining the kinetic rates for transitions to and from such states by registration of changes in the average fluorescence intensity related to different modulation of the excitation source is introduced. It combines the detection sensitivity of fluorescence with the environmental sensitivity of the long-lived transient states and allows the use of slow detectors such as CCD cameras, making parallelization and wide-field imaging possible developments. An extension of this method, generating image contrast based on triplet state population using a standard laser scanning microscope, is also shown.A strategy to combine fluorescence correlation spectroscopy (FCS) with modulated excitation, in a way that allows extraction of correlation data for all correlation times, is presented. This enables the use of modulation to optimize measurement conditions with respect to photophysical properties of the dyes used. FCS with modulated excitation will probably prove useful in future studies involving multiple kinetic processes occurring in overlapping time ranges. One of the ideas from this project also constitutes a powerful method for generating artifact free correlation curves from data sets where sections have been removed. This is potentially very useful in biological studies where spikes in the measurements often cause problems.In the final project, cross-correlation and alternating excitation are combined in measurements on a pH-sensitive ratiometric dye to clearly distinguish the protonation–deprotonation dynamics from other processes. The presented approach makes the protonation related fluctuations manifest themselves as a very distinct anti-correlating component in the correlation curve. This enables robust data analysis using a simple model.