Quantitative metrics on the tissue distribution of different cell phenotypes, extracellular matrix components, and signaling/cell cycle markers hold the promise for the advent of new-generation tissue-based predictive/prognostic biomarkers in clinical diagnostics. The workflow of this approach is composed of three major phases: (1) detection of multiple molecular targets on a single histologic section, (2) image acquisition, and (3) digital image processing and analysis. Here, we present the most prevalent current alternatives for step (1) and describe a three-plex staining and image acquisition platform that captures the spatial distribution of macromolecules from two different species.
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