Spatial Omics Suite
Where spatial biology meets precision medicine. Uncover the geographic organization of cells and molecules to unlock new biological insights.
Technology Introduction
Spatial omics preserves the critical spatial context of biological samples, revealing how cellular location and neighborhood influence function. This revolutionary approach goes beyond traditional bulk sequencing to map molecules within their native tissue architecture.
Our platform integrates cutting-edge spatial transcriptomics, proteomics, and imaging technologies to provide comprehensive views of tissue organization, cell-cell interactions, and disease mechanisms.
Platform Capabilities
End-to-end spatial omics solutions for research and clinical applications
Multi-Omics Integration
Seamlessly combine transcriptomics, proteomics, and metabolomics data with spatial context
High Spatial Resolution
Single-cell and subcellular resolution mapping of molecular distributions
High Throughput
Process hundreds of samples with automated pipelines and quality control
Application Areas
Oncology Research
Map tumor microenvironment, identify resistance mechanisms, and discover spatial biomarkers for patient stratification
Biomarker Discovery
Uncover spatially resolved biomarkers that traditional bulk methods miss, enabling precision medicine approaches
Drug Response Prediction
Understand heterogeneous drug effects across tissue regions to predict efficacy and optimize treatment strategies
Workflow Visualization
From sample to insights in four streamlined steps
Sample Preparation
Tissue sectioning and staining
Spatial Profiling
High-resolution molecular capture
Data Generation
Sequencing and imaging
Analysis & Insights
Bioinformatics and visualization
Data Output Examples
Spatial Heatmap
Gene expression mapping
Expression Matrix
Quantitative data analysis
Integration with Virtual Cell Platform
Spatial omics data enhances virtual cell models with tissue-level context
Spatial Data Input
Spatial transcriptomics informs cell type composition
Model Enhancement
Virtual cell models incorporate spatial constraints
Validated Predictions
Combined approach improves prediction accuracy
Schedule a Consultation
Discover how spatial omics can accelerate your precision medicine research