Spatial Biology

Powered by STOmics Stereo-seq

What is Stereo-seq?

SpaTial Enhanced REsolution Omics-sequencing (Stereo-seq) is a sequencing-based spatial transcriptomics technology that enables high-resolution mapping of gene expression within tissue samples. Stereo-seq provides subcellular resolution for molecular level insights and facilitates in-situ RNA capture to uncover spatial data with unprecedented field-of-view.

As a certified service provider, Admera Health offers complete Stereo-seq workflows — from sample preparation and sequencing to advanced bioinformatics ensuring the highest quality for every project. Learn more about our certified partnerhips.

Application Note

Key Features & Highlights

High-resolution

Captures spatial transcriptomics data down to subcellular levels, enabling precise gene expression mapping

Species-agnostic

Compatible with a wide range of species and sample origins

Sample-Type Compatible

Solutions for fresh frozen and FFPE using Stereo-seq OMNI solution

Large capture areas support larger tissue samples with centimeter-level field of view

Scalability

Discover Our Capabilities
Across Diverse Species & Sample Types

Sample Type: FFPE

Sample Origin: mouse liver

Platform: Stereo-seq OMNI

Sample Type: FFPE

Sample Origin: monkey brain

Platform: Stereo-seq OMNI

Sample Type: FFPE

Sample Origin: mouse head

Platform: Stereo-seq OMNI

Sample Type: fresh frozen

Sample Origin: mouse brain

Platform: Stereo-seq

Sample Type: fresh frozen

Sample Origin: mouse spinal cord

Platform: Stereo-seq

Sample Type: FFPE

Sample Origin: mouse heart

Platform: Stereo-seq OMNI

Sample Type: FFPE

Sample Origin: human kidney

Platform: Stereo-seq OMNI

Sample Type: FFPE

Sample Origin: human kidney

Platform: Stereo-seq OMNI

Explore a Stereo-seq Demo Report

See the power of Stereo-seq in action. Our demo reports showcase how subcellular resolution and large-scale tissue coverage uncover complex gene expression patterns across intact tissues. Explore real data processed with the Stereo-seq Analysis Workflow (SAW), including tissue images, spatial clustering maps, and gene expression heatmaps to uncover how Stereo-seq accelerates research with precision.