Give your archive a new role in discovery.

A finding in a few samples raises a question about how widely it occurs. Perhaps a gene caught your attention in the samples you profiled, while dozens of other cases remain represented only by histology. Aurora gives those H&E slides predicted expression maps, letting you investigate the candidate across a broader set of cases.

Because each slide receives predictions for the same genes, you can compare their spatial patterns and look for similarities the original study never examined. Cases outside the measured subset can now contribute to developing the hypothesis.

The location of a predicted pattern gives you something specific to investigate. A difference between samples may prompt you to look more closely at a boundary or a region within a section. The maps keep expression predictions connected to the H&E image, so you can study that difference alongside the tissue structures around it.

While a cohort comparison reveals which cases merit attention, the spatial view helps you decide what to ask about them. A broad association can become a question about a particular gene in a particular region.

An archived image can support scientific work after the original experiment has ended. When a new candidate gene or hypothesis emerges, you can return to the slides without collecting another section. This gives earlier cohorts a continuing role in research, including cases whose blocks are no longer available.

For collections that still hold tissue, the same work helps you identify material for a new collaboration or follow-up study. The archive becomes a resource researchers can investigate by predicted biology as well as by its existing catalogue.