Fig. 1.

Conceptual illustration of the algorithmic paradigm for constructing a generative digital twin (GDT). A. The image registration of consecutive slide sections profiled for an entire organism. Here, we illustrate the example of registering coronal sections of the mouse brain atlas. B. The training of generative AI models using patch-wise paired data, which consists of spatial gene expression arrays and associated cellular morphological bioimages. C. The construction of the entire digital brain atlas using spatial gene expression as the input. On top of that, selected molecular-level interventions can be performed and drive associated morphological transitions.