Established methods for imaging of biological or biomimetic samples, such a
s fluorescence and optical microscopy, magnetic resonance imaging (MRI), X-
ray tomography or positron emission tomography (PET) are currently compleme
nted by infrared (both near-IR and mid-IR) as well as Raman spectroscopic i
maging, whether it be on a microscopic or macroscopic scale. These vibratio
nal spectroscopic techniques provide a wealth of information without a prio
ri knowledge of either the spectral data or the composition of the sample.
Infrared radiation does not harm the organism, no electric potential needs
to be applied, and the measurements are not influenced by electromagnetic f
ields, in addition, no extrinsic labeling or staining, which may perturb th
e system under investigation, has to be added. The immense volume of inform
ation contained in spectroscopic images requires multivariate analysis meth
odologies in order to effectively mine the chemical and spatial information
contained within the data as well as to analyze a time-series of images in
order to reveal the origin of a chemical or biochemical process. The promi
se and limitations of this new analytical tool are surveyed in this review.