Recent advances in label-free chemical imaging approaches have yielded new methods for measuring drug distribution in biological tissues. Such techniques include Raman spectroscopy and multiphoton microscopies, in addition to a suite of powerful mass spectrometry imaging methods. These techniques offer complementary information, with different strengths and limitations. By combining several of these datasets using image registration, powerful visualization can be achieved, combining high chemical specificity and sensitivity with sub-micron spatial resolution. Here we present a correlative imaging example that combines nonlinear optical spectroscopies and secondary ion mass spectroscopy imaging, applied to the same skin sample, for label-free visualization of the tissue structure and the distribution of an applied model compound.
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