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Spatial Transcriptomics

Unlock the Spatial Context of Biology with Stereo-seq: Where Single-Cell Resolution and Large Field-of-View Fulfill Spatial Precision

Unlock the Spatial Context of Biology with Stereo-seq: Where Single-Cell Resolution and Large Field-of-View Fulfill Spatial Precision

Unlock the Spatial Context of Biology with Stereo-seq: Where Single-Cell Resolution and Large Field-of-View Fulfill Spatial Precision

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What is Spatial Transcriptomics?

Spatial transcriptomics is an innovative technology that enables scientists to map gene expression within the structural context of tissues.

This approach not only identifies which genes are active but also reveals their precise locations within the tissue. By providing spatially resolved data, it offers deeper insights into cellular interactions and tissue organization, which are crucial for studying tissue heterogeneity, disease progression, and developmental processes. Unlike conventional transcriptomics, which analyzes gene expression in bulk, spatial transcriptomics delivers a detailed “Google map” of where genes are expressed within a tissue sample.​

This technology has significant applications across multiple fields. In cancer research, it helps scientists examine how tumor cells interact with their surrounding microenvironment, paving the way for disease mechanism research, more targeted therapies, etc. In neuroscience, spatial transcriptomics allows researchers to map neural circuits and understand how gene expression influences brain function. By answering complex questions about tissue function, cellular environments, and disease mechanisms, spatial transcriptomics accelerates advancements in precision medicine and the development of new treatments. It was recognized as the "Method of the Year 2020" by Nature Methods, highlighting its growing importance in biological research.​

Why Stereo-seq

Technology introduction​

STOmics' proprietary Stereo-seq (SpaTial Enhanced REsolution Omics-sequencing) technology provides researchers with a revolutionary sequencing-based tool for spatial biology discovery. Stereo-seq is capable of obtaining whole transcriptome information without pre-designed probes at true single-cell resolution and centimeter-level field-of-view. Stereo-seq has proven performance on multiple tissue samples across different species. This advanced spatial-omics platform is compatible with fresh frozen and formalin-fixed-paraffin-embedded (FFPE) tissue samples. Over 100+ papers have been published in top journals, such as Science, Nature, and Cell, during the past two years.

How Stereo-seq works​

Stereo-seq Workflow

1

Sample Preparation

Sample Preparation

2

Stain & Imaging

Stain & Imaging

3

mRNA Capture & cDNA Synthesis

mRNA Capture & cDNA Synthesis

5

Data Analysis & Visulaization

Data & Visualisation

Image processing

SteroMap (Manual)

Reads processing & quantification

SAW

Visulaization

SteroMap

Stereo-seq Technology Highlights​

True Single-Cell Resolution

The silicon-based Stereo-seq chip features densely patterned RNA-capturing spots, each labeled with a unique spatial coordinate barcode (Coordinate ID, CID). With a center-to-center distance of just 0.5 µm between adjacent spots, it enables transcriptome studies and analysis at true single-cell resolution. Each cell, approximately 10 µm in diameter, is captured by 400 spots. A standard-sized Stereo-seq chip (1 cm x 1 cm) contains 400 million RNA-capturing spots.​

single-cell-resolution-stereo-seq
single-cell-resolution-stereo-seq

Large Capture Area for Comprehensive Analysis

spatial-transcriptomics-varius-tissues-sizes
spatial-transcriptomics-varius-tissues-sizes

Demonstration of Stereo-seq chip at different sizes

Stereo-Seq accommodates larger tissue samples by offering a centimeter-level field of view

The standard chip size for Stereo-Seq is 1 cm x 1 cm and can be expanded up to 13 cm x 13 cm. Enlarging the capture area allows the measurement of whole mammalian embryos, human organs, or model organisms.

Species Agnostic

Stereo-seq technology supports diverse tissue types and species, and works with Fresh and FFPE samples

Stereo-seq Transcriptomics Solution utilizes a capture method for poly-adenylated mRNA capture which supports a wide range of tissue types and species including human, animals, and plants.

complete-genomics-stereo-seq-species

Wide range of Human tissue types

Brain

Thymus

Pancreas

Lymph

Liver

Ovary

Small Intestine

Kidney

Prostate

Endometrium

Muscle

Epileptic Hippocampus

Tonsil

Skin hairfollicle

Brain cancer

Breast cancer

Liver cancer

Pancreatic cancer

Lung cancer

Thyroid cancer

Esophageal cancer

Kidney cancer

Colon cancer

Endometrial carcinoma

Lymphnode metastasis

complete-genomics-stereo-seq-species

Wide range of Mouse tissue types

Head

Whole brain

Eye ball

Tongue

Heart

Skin

Spleen

Large intestine

Small intestine

Lung

Kidney

Liver

Thymus

Bulbus oculi

Ovary

Olfactory bulb

Pancreas

Colon

Cecum

Testis

Spinal cord

Placenta

complete-genomics-stereo-seq-species

More Species tissue types

Arabidopsis

Soy bean

Drosophila

Zebra fish

Salamander

Macaque

STOmics products​

Image of Stereo-seq Transcriptomics
Image of Stereo-seq Transcriptomics
Image of Stereo-seq Transcriptomics

Stereo-seq Transcriptomics

STOmics Stereo-seq v1.3 captures whole transcriptomes in situ at nanoscale resolution across centimeters. New chemistry, probes, and enzymes deliver improved efficiency and streamlined workflow.

Image of Stereo-seq Transcriptomics H&E​
Image of Stereo-seq Transcriptomics H&E​
Image of Stereo-seq Transcriptomics H&E​

Stereo-seq Transcriptomics H&E​

Stereo-seq Transcriptomics H&E integrates tissue phenotyping and spatial molecular profiling. Using H&E-stained morphology, it aids tissue identification, ROI profiling, and differential analysis.

Image of Stereo-seq Large Chip Designs​
Image of Stereo-seq Large Chip Designs​
Image of Stereo-seq Large Chip Designs​

Stereo-seq Large Chip Designs​

STOmics Stereo-seq Transcriptomics LCD enables in situ whole-transcriptome capture of entire tissue sections at nanoscale resolution on large chips (up to 2×3 cm), compatible with all species.

Image of Stereo-seq transcriptomics mIF ​
Image of Stereo-seq transcriptomics mIF ​
Image of Stereo-seq transcriptomics mIF ​

Stereo-seq Transcriptomics mIF ​

Stereo-seq mIF combines whole transcriptomics, protein detection, and tissue morphology on the same tissue slice, enabling spatial multi-omics at single-cell resolution without affecting mRNA capture.

Image of sequencers
Image of sequencers
Image of sequencers

Stereo-CITE​

Stereo-CITE uses CITE-seq to detect whole transcriptomes and 100+ proteins on the same tissue section, facilitating study of tissue heterogeneity in complex diseases and broadening spatial omics understanding.

Image of sequencers
Image of sequencers
Image of sequencers

Stereo-seq OMNI​

Stereo-seq OMNI offers spatial single-cell total RNA analysis of FFPE samples using 'Random Probe' design, covering 10×10 mm areas with precise transcriptomics.

Check Our Demo Results

Exploring true spatial single-cell total RNA information with Stereo-seq OMNI by clicking any of the cards below.

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mouse cells stero-seq image

Frequently Asked Questions

How does spatial transcriptomics differ from traditional RNA sequencing?
How does spatial transcriptomics differ from traditional RNA sequencing?
How does spatial transcriptomics differ from traditional RNA sequencing?
How does Stereo-seq technology achieve single-cell resolution in spatial transcriptomics?
How does Stereo-seq technology achieve single-cell resolution in spatial transcriptomics?
How does Stereo-seq technology achieve single-cell resolution in spatial transcriptomics?
How many spots are on a 1cm x 1cm Stereo-seq chip?
How many spots are on a 1cm x 1cm Stereo-seq chip?
How many spots are on a 1cm x 1cm Stereo-seq chip?
Do you need a separate instrument for spatial transcriptomics analysis using Stereo-seq?
Do you need a separate instrument for spatial transcriptomics analysis using Stereo-seq?
Do you need a separate instrument for spatial transcriptomics analysis using Stereo-seq?
What is the recommended sequencing depth for Stereo-seq experiments?
What is the recommended sequencing depth for Stereo-seq experiments?
What is the recommended sequencing depth for Stereo-seq experiments?
How is spatial transcriptomics data analyzed?
How is spatial transcriptomics data analyzed?
How is spatial transcriptomics data analyzed?
What are the computational challenges associated with analyzing spatial transcriptomics data?
What are the computational challenges associated with analyzing spatial transcriptomics data?
What are the computational challenges associated with analyzing spatial transcriptomics data?
Does Stereo-seq enable multiplexing?
Does Stereo-seq enable multiplexing?
Does Stereo-seq enable multiplexing?
Can Stereo-seq data be analyzed using single-cell analysis tools like Seurat?
Can Stereo-seq data be analyzed using single-cell analysis tools like Seurat?
Can Stereo-seq data be analyzed using single-cell analysis tools like Seurat?

Highlighted in the Cell Journal

Spatiotemporal Transcriptomic Atlas of Mouse Organogenesis Using DNA Nanoball-patterned Arrays

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Join our newsletter to stay up to date on features and releases.

I have read and understood MGI’s Privacy Policy, and I consent to the collection and processing of my personal data for handling, responding to my contact, receiving your newsletter as well as promotion and marketing activities.

*For Research Use Only

Not for use in diagnostic procedures (except as specifically noted).

Copyright © 2024 MGI tech GmbH, Ltd. All Rights Reserved.

Join our newsletter to stay up to date on features and releases.

I have read and understood MGI’s Privacy Policy, and I consent to the collection and processing of my personal data for handling, responding to my contact, receiving your newsletter as well as promotion and marketing activities.

*For Research Use Only

Not for use in diagnostic procedures (except as specifically noted).

Copyright © 2024 MGI tech GmbH, Ltd. All Rights Reserved.