Traditional transcriptomic analysis methods overly rely on dissociated single-cell samples or thin 2D tissue sections. This inevitably strips away crucial spatial context about how layers of diverse cells interact in three dimensions. Understanding cellular function, therefore, critically depends on preserving this 3D context, as cell positioning and surrounding microenvironmental cues profoundly influence disease progression, therapeutic response, and overall tissue function.
In this white paper from Stellaromics, explore why the transition from 2D to 3D spatial omics is transformative to further advances in drug discovery.