Service
Spatial Sequencing
Combine transcriptomics with spatial resolution to understand tissue organization and function
Key advantages
Preserves spatial context while profiling gene expression
Reveals tissue architecture, cell interactions, and microenvironmental dynamics
Identifies spatial patterns of gene expression and tissue zonation
Supports discovery of biomarkers and spatially regulated genes
Applicable to cancer, neuroscience, developmental biology, and infectious disease research
Compatible with fresh frozen or FFPE tissue sections
Integrates with single-cell data for deeper cell-type annotation
Enables 3D tissue mapping and disease microenvironment analysis
Technical specifications
Platforms supported: 10x Genomics Visium, Nanostring GeoMx, Resolve Biosciences
Tissue compatibility: fresh frozen, FFPE, H&E stained sections
Gene detection: whole transcriptome or targeted panels
Spot/capture resolution: 50–100 μm for standard Visium; subcellular for high-res platforms
Sequencing depth: typically 50K–100K reads per spot
Data outputs: spatial gene expression matrices, tissue annotations, high-resolution histological images
Bioinformatics pipeline: image alignment, QC, spatial clustering, differential expression, integration with scRNA-seq
Optional analyses: cell type deconvolution, ligand-receptor interaction, spatial trajectory inference
Data delivery: interactive maps, annotated tissue zones, and integrative visual reports