Decoding the spatial language of disease.
From raw spatial data to actionable insight.
Expert bioinformatics consulting, AI-powered.
TESSERA
Hand us your raw data. We return publication-ready results through our end-to-end analysis engine.
Learn more You have a hypothesisMAPPA
Mine 50,000+ pre-processed public spatial samples to discover novel targets, build virtual cohorts, and validate findings -- without generating new data.
Learn moreTESSERA
Your data in. Insights out. End-to-end analysis, fully reproducible.
Intelligent Intake
Format-agnostic ingestion, automated QC, artifact detection.
Hardened Processing
Containerized Nextflow pipelines. Fully reproducible, every time.
Foundation Models
AI-driven cell annotation and adversarial peer review.
Reference Atlases
Context against 50,000+ spatial samples via MAPPA.
Platform agnostic. Comprehensive.
Intelligent QC
Automated artifact detection and quality scoring across all platforms.
Cell Segmentation
Precise cell boundaries and type annotation at single-cell resolution.
Spatial Analysis
Neighborhood composition, ligand-receptor signaling, domain detection.
Publication-Ready
Interactive reports, figures, and queryable data objects. Ready to publish.
MAPPA
Discover spatial biomarkers without generating new data.
In Silico Target Discovery
Mine 50,000+ samples for novel spatial biomarkers and therapeutic targets.
Virtual Cohorts
Build disease-specific cohorts from public data. No wet lab, no waiting.
Contextualize Your Biology
Compare your pilot data against thousands of reference samples to validate findings.
31 MS patients. 200+ tissue sections. A new disease state discovered.
We partnered with Cambridge to process fragmented spatial datasets from post-mortem brain tissues at scale. The result: identification of Disease-Associated Radial Glia-like cells in chronic MS lesions.
Published in Neuron, 2025"By scaling this spatial analysis, we successfully identified DARGs in chronic active lesions - uncovering a novel cellular axis for disease pathobiology and potential therapeutic intervention."
Two cancer types. Subcellular spatial resolution. An immunosuppressive niche mapped.
We partnered with SOTIO Biotech to process complex Xenium spatial datasets comparing cervical and head and neck cancers. The result: identifying dense regulatory T cell populations and localized exhaustion signatures as key drivers of immunosuppression in cervical cancer.
Published in J Immunother Cancer, 2025"Generating the spatial data was only the first step. Carta Genum provided the dedicated bioinformatics capacity we needed, turning our complex datasets into clear, publication-ready biological insights."
Ready to turn your data into insight?
We work with a small number of labs at a time. Let's see if we're a fit.