See how cells, molecular states, and tissue architecture interact. Use our Weave software to align spatial and molecular data and explore cellular neighborhoods to generate insights that drive drug discovery and development.
Spatial biology generates rich, multi-dimensional datasets, but discovery of true biological insights is impeded by the complexity and size of biomedical data being generated.
Many disease mechanisms, such as immune activation, or treatment resistance, only become visible when you analyze the spatial relationships between different cells and populations.
Weave supports this analysis by turning spatial and molecular readouts into a unified analytical framework. With end-to-end analysis workflows, powerful visualization tools, and a full SDK.
Build a holistic view across biological layers. Integrate spatial transcriptomics, proteomics, and metabolomics with mass spectrometry imaging (MSI), histology, and related data at single-cell precision while preserving spatial context.
Examine multicellular environments starting from our understanding of individual cells. Interrogate cell–cell interactions, cell states, and tissue architecture to reveal mechanisms with spatial context.
Bring biology, pathology, computational, and AI teams together on the same governed datasets. Enable shared interpretation and reproducible end-to-end workflows without switching tools or rebuilding pipelines.
Run standardized, reproducible, and auditable pipelines across teams and sites. Use AI-ready datasets to train and deploy models efficiently. Automate and enhance data analyses via domain-specific agentic workflows.
Unlock novel insights, validate hypotheses with orthogonal evidence, and shorten time-to-insight for faster, data-driven decisions.
Deliver standardized, high-value analyses with traceable outputs to your sponsors.
Build and manage FAIR, shareable datasets that reveal novel insights and accelerate collaboration and publication.
Industry-leading multimodal registration and fusion
Extensive data visualizations
Cohort-level analysis with reproducible, governed workflows
Structured, lineage-tracked, AI-ready data management
Scalable architecture for enterprise-wide collaboration
Flexible access through user interface, SDKs, and APIs
The Aspect Analytics scientific and computational teams partner with you to help you extract more value from spatial and multimodal data, while building long-term independence inside Weave.
Whether you need support for a pilot, deep multimodal interpretation, or personalized workflows directly inside Weave, we adapt to your scientific goals. You can outsource specific analyses, collaborate closely with our experts, or use Weave independently through guided enablement and training.
From early discovery to clinical research, we help you extract more value from spatial and multimodal data.
Uncover and validate cellular drivers and mechanistic signatures by integrating histology with spatial molecular assays.
Connect phenotype to pathway activity, signaling changes, cell-cell interactions, and cellular neighborhoods.
Quantify drug compound effects by combining MSI-based compound localization with molecular expression and tissue architecture.
Integrate biomarker data, imaging, and spatial molecular profiles to refine patient cohorts and support medical strategy.
Spatially aware clustering of ion images in mass spectrometry imaging data using deep learning
Toward omics-scale quantitative mass spectrometry imaging of lipids in brain tissue using a multiclass internal standard mixture
Extraction of the polysorbate 20 and 80 fingerprint via generative modeling
