Conventional analyses of fluorescence lifetime measurements resolve the flu
orescence decay profile in terms of discrete exponential components with di
stinct lifetimes. In complex, heterogeneous biological samples such as tiss
ue, multi-exponential decay functions can appear to provide a better fit to
fluorescence decay data than the assumption of a mono-exponential decay, b
ut the assumption of multiple discrete components is essentially arbitrary
and is often erroneous. Moreover, interactions, both between fluorophores a
nd with their environment, can result in complex fluorescence decay profile
s that represent a continuous distribution of lifetimes. Such continuous di
stributions have been reported for tryptophan, which is one of the main flu
orophores in tissue. This situation is better represented by the stretched-
exponential function (StrEF). In this work, we have applied, for the first
time to our knowledge, the StrEF to time-domain whole-field fluorescence li
fetime imaging (FLIM), yielding both excellent tissue contrast and goodness
of fit using data from rat tissue. We note that for many biological sample
s for which there is no a priori knowledge of multiple discrete exponential
fluorescence decay profiles, the StrEF is likely to provide a truer repres
entation of the underlying fluorescence dynamics. Furthermore, fitting to a
StrEF significantly decreases the required processing time, compared with
a multi-exponential component fit and typically provides improved contrast
and signal/noise in the resulting FLIM images. In addition, the stretched-e
xponential decay model can provide a direct measure of the heterogeneity of
the sample, and the resulting heterogeneity map can reveal subtle tissue d
ifferences that other models fail to show.