Fig. 4.

Information transfer in organic structural spectroscopy. These images define a three-dimensional space composed of the area of the image (pixel resolution along the x- and y-axes) and the depth of the color space. This three-dimensional space offers n options for depicting dissimilarity (n = x × y × color depth). Significant resolution is only attained if there is sufficient information to enable a meaningful assessment of data [here, the apparent differentiation of (a) a fish, (b) a mountain, (c) a human, and (d) a beetle is only possible at panels C and D]. In analogy with these considerations, a three-dimensional analytical volumetric pixel space comprising NMR spectroscopy, mass spectrometry and separation is developed in Fig. 12. The current expansion of this analytical volumetric pixel space (log ) is sufficient to elaborate meaningful detail at molecular resolution from the most complex biological and biogeochemical mixtures