In this talk, I will present a few hyper spectral IR imaging techniques that allows us to characterize biological and material samples in temporal, spatial and energy domains. We show that IR spectral imaging is sensitive to local chemical enviornments, self-assembled structures, while the imaging reveals the overall morphology samples. With this technique, we can learn local hydration levels and structural ordering of self-assembled material and biological tissues. The correlations revealed among the spectral, spatial and temporal information can lead to comprehensive understanding of the materials when combined with informational techniques.
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