The next frontier of biology
We develop and apply groundbreaking technology and AI to build predictive spatial biology—mapping living systems in 3D and over time, across health, disease and the environment—and bring it responsibly to society.
Beyond the spatial map
Life unfolds in space—and through time. Spatial organization determines how cells communicate, how tissues develop and regenerate, how pathological niches emerge and drive disease, and how organisms interact with their environment. Yet current approaches largely capture static and incomplete snapshots and rarely connect molecular organization to function, disease trajectories, environmental change, or societal outcomes.
Our cluster will establish the next generation of spatial biology by integrating 3D and longitudinal molecular mapping, multimodal technologies, perturbation and AI to move from describing biological organization to understanding, predicting and ultimately influencing how living systems change.
Multi-omic depth
Spatial methods preserve the anatomical location of gene expression, proteins and other molecules, enabling the characterization of cells within their native tissue architecture. Members of the cluster helped establish these measurements and continue to push them toward finer resolution and more molecular layers at once.
See the methods that read molecules in placeThree-dimensional context
A section is one plane through a structure that was never flat. Reassembling those planes, and inferring what falls between them, restores the architecture and the relationships between cells that a single slice cannot show.
Explore how spatial methods are appliedChange through time
Tissue has a history. Genetic barcoding and lineage tracing link a cell to its ancestors and its position at once, giving spatial data a temporal frame across development, disease and response to treatment.
Explore how we follow cells and their descendants
Multimodal prediction
Enough modalities, at enough scale, exceed what can be read by eye. AI is embedded across the cluster to integrate imaging with molecular profiles, predict features that were never measured, and model how tissue is organised and how it changes.
See how AI is used across the clusterResponsible adoption
A new technology only matters once people can trust and use it. Social scientists and ethicists across the cluster find where spatial biology meets the greatest need, what earns the trust of patients, clinicians and the public, and which rules decide adoption, steering what we build next.
See how social science shapes the clusterWe are building the next innovation ecosystem.
This cluster fosters the next generation of academic–industry partnership — connecting researchers, industry and investors around spatial biology.
See how we work with industryVision
Sweden built the technologies that let us see how cells are organised in intact tissue. The next step is moving from increasingly detailed maps to models that explain and predict how living systems behave.
Read the visionPartner institutions
