stereo-cell

Stereo-cell

Single-cell Multimodal Platform

Spatial Enhanced-Resolution Single-Cell Sequencing

Stereo-cell leverages high-density DNB-patterned arrays to enable scalable, unbiased single-cell capture with spatial localization and multiomics integration—overcoming key limitations of traditional single-cell technologies.

Spatial Localization

Scalable Throughput

Multiomics Integration

High-Density DNB Arrays

About Stereo-cell

A breakthrough single-cell sequencing platform developed by BGI Group, published in Science (2025, DOI: 10.1126/science.adr0475)

Technology Principle

Encapsulation-Free

In Situ Capture

Deep Learning

...

Stereo-cell is built on high-density DNA nanoball (DNB)-patterned arrays (~220 nm diameter, 500 nm center-to-center spacing) with a planar architecture that enables encapsulation-free in situ transcript capture. Unlike traditional droplet-based or plate-based methods, this design eliminates the need for compartmentalization, supporting direct profiling of diverse cell types and structures.

The platform uses poly-L-lysine (PLL) pre-coated chips to enhance cell adhesion, followed by standard Stereo-seq workflow modifications, deep learning-based cell segmentation, and imaging-based doublet elimination for high-fidelity transcriptome analysis.

Key Features

Ultra-High Throughput

Supports 200 to 1,000,000+ cells per chip with flexible chip sizes (0.5×0.5cm to 13×13cm).

S1 (1×1cm): 1-100,000 cells
S6 (6×6cm): 360,000-1M cells
S13 (13×13cm): Up to 10M cells

Broad Cell Compatibility

Captures small immune cells, large cells (oocytes), multinucleated structures (myofibers), and extracellular vesicles (EVs).

PBMCs & rare immune populations
Mouse oocytes (mammalian largest cell)
Skeletal myofibers (multinucleated)

Spatial Resolution

Preserves subcellular transcript localization and in situ microenvironmental context, enabling cell-cell interaction analysis.

Subcellular RNA distribution mapping
Neuromuscular junction (NMJ) profiling
Myotendinous junction (MTJ) identification

Multi-omics Integration

Integrates transcriptomics with multiplex immunofluorescence (mIF) and epitope profiling (CITE-seq).

Concurrent mRNA + protein detection
154+ antibody panels supported
Protein-RNA coexpression networks

Services

Tailored solutions for single-cell research, leveraging Stereo-cell's unique capabilities

Open Door

Various types of service methods are available, and we warmly welcome partners at any time.

Try it now!

Single-Cell Profiling

High-throughput transcriptomic analysis for 200 to 1M+ cells, with unbiased cell capture and accurate gene expression profiling. Ideal for heterogeneous cell populations and rare cell detection.

PBMC and immune cell analysis
Rare cell population identification
Cell type annotation and clustering
Differential gene expression analysis

Technical Support & Training

Comprehensive support for experimental design, chip customization, data analysis, and platform operation to maximize research outcomes.

Experimental design consultation
Chip size and protocol customization
Data analysis pipeline setup
Hands-on platform training

Academic Collaboration

Joint research projects with academic institutions to advance single-cell biology, translational medicine, and technology development.

Collaborative research projects
Grant application support
Co-authorship opportunities
Technology co-development

Data Analysis Solutions

Comprehensive bioinformatics pipelines for processing, analyzing, and visualizing Stereo-cell data, integrating advanced algorithms for single-cell and spatial omics.