CosMx™ SMI for Single-Cell Imaging

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CosMx™ SMI for Single-Cell Imaging instrument photo

Introducing the CosMx™ Spatial Molecular Imager

Elevate your single-cell research with CosMx, a Spatial Multiomics Single-Cell Imaging Platform.

CosMx SMI is the first high-plex in situ analysis platform to provide spatial multiomics with formalin-fixed paraffin-embedded (FFPE) and fresh frozen (FF) tissue samples at cellular and subcellular resolution. CosMx SMI enables rapid quantification and visualization of up to 1,000 RNA and 64 validated protein analytes. It is the flexible, spatial single-cell imaging platform that will drive deeper insights for cell atlasing, tissue phenotyping, cell-cell interactions, cellular processes, and biomarker discovery.

Diagram showing how CosMx SMI for single-cell imaging delivers a comprehensive package from sample preparation to interactive data analysis.
CosMx SMI for single-cell imaging delivers a comprehensive package which includes validated reagents, instrument, and data analysis software for seamless sample-to-result.

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High-Plex Assays
FFPE Compatibility
High Sensitivity
True Single-Cell Segmentation
Spatial Multiomics
High-Plex Assays

Comprehensive answers with 1000-plex RNA assays in a single experiment

 

Uncover biological insights with predefined high-plex panels encompassing genes for cell typing, cell states, cell-cell interaction and much more. Get the most out of every experiment with our cost effective predefined 1000-plex panel with the option to customize.

FFPE Compatibility

Get single-cell gene expression in challenging FFPE tissues with spatial context.

 

Melanoma FFPE tissue probed with 1000-plex RNA panel to detect spatial localization of transcripts in intact tissue.

High Sensitivity

Detect low expressing genes with highly sensitive CosMx SMI

 

Genes Expression level Copies per cell (Max.)
MALAT1 High 256
FOS Medium 40
LY6D Low 24

Total number of cells analyzed = 800,327​
Total transcripts detected = 259,604,214​
Number of transcripts / cell (Max) = 2000​
Number of transcripts / cell (Mean) = 257

Shown here are the transcripts detected per cell in non-small cell lung cancer (NSCLC) FFPE tissue probed with a 1000-plex gene panel (left) and total transcript distribution in the NSCLC tissue (right). CosMx SMI offers high sensitivity and high dynamic range to capture low copy number gene transcripts at the single cell level.

True Single-Cell Segmentation

Multi-modal approach for true single-cell segmentation

Multi-modal cell segmentation process provides accurate cell boundaries detection. CosMx cell segmentation uses cell membrane and morphology marker protein images, machine-learning augmented cell segmentation algorithm and transcript-based segmentation refinement to achieve precise single-cell segmentation in morphologically intact tissue.

Spatial Multiomics

Detect up to 1000-plex RNA and 100-plex protein in intact tissue samples

Redefining Spatial Biology with Single-Cell Imaging and Subcellular High-plex 3-Dimensional Resolution

How it works

CosMx SMI is an integrated system with mature cyclic fluorescent in situ hybridization (FISH) chemistry, high-resolution imaging readout, interactive data analysis and visualization software.

Easy Sample Preparation, Compatible with Any Sample Type

The molecular spatial imager for single-cell imaging streamlines and simplifies workflow
Streamlined and simple workflow that integrates with standard ISH protocol with no need for tissue expansion or clearing, cDNA synthesis or amplification. Go from sample to result faster.

Automated Cyclic in situ Hybridization Chemistry

Diagram illustrating single-cell imaging
Robust hybridization chemistry that provides higher sensitivity and supports high-plex assays in your tissue samples to uncover deeper biological insights.

Applications

CosMx Spatial Molecular Imager is the most flexible and robust spatial single-cell imaging platform for:

  • Cell Atlas and Characterization: Define cell types, cell states, tissue microenvironment phenotypes, and gene expression networks within spatial context.
  • Cell-cell Interaction: Understand biological process controlled by ligand-receptor interactions.
  • Spatial Biomarkers: Quantify change in gene expression based on treatment and identify single-cell subcellular biomarkers with spatial context.
Oncology
Neuroscience
Immunology
Infectious Diseases
Developmental Biology

Interested in learning more about CosMx SMI for Single-Cell Imaging?

Contact our helpful experts and we’ll be in touch soon.

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Webinar: High-Plex Imaging for RNA and Protein in FFPE tissue

Single-Cell Imaging FAQs

Why is a single cell important?

Cells are a fundamental unit of life. A comprehensive understanding of how cells organize themselves in different layers of information to form tissues is not yet fully achieved.  Further, no matter how seemingly homogeneous a tissue might appear, it contains a diverse population of cells, all of which represent different manifestations of that tissue type. Learn more »

Why is single-cell analysis important?

Single-cell analysis encompasses the study of genomics, transcriptomics, proteomics, and metabolomics at single-cell resolution. As cells are the organism’s building blocks, they are organized in different layers of information to form tissues, and the position of each cell within a tissue has a physiological or morphological function. Learn more »

What is single-cell technique?

Single-cell techniques are advances in single-cell manipulation and amplification that have enabled the study of genomics, transcriptomics, and epigenomics at the level of a single cell. Learn more »

What is single-cell spatial transcriptomics?

Analysis of mRNA expression profile with spatial context at the level of a single cell is known as single-cell spatial transcriptomics. Each cell has a unique transcriptomic fingerprint as gene expression patterns can be heterogeneous even amongst similar cells in both standard and abnormal cell states. Learn more »

Is spatial transcriptomics single-cell resolution?

Yes. Recent advances in the field of spatial transcriptomics have made it possible to visualize RNA transcripts at the resolution of a single-cell and, in some cases, subcellular resolution. Learn more »

What is single-cell analysis used for?

Single-cell analysis can provide data on cellular phenotypes by studying the effects of genomic alterations, gene expression, and environmental influences at the level of a single cell. Learn more »

Related Resources

Brochure CosMx™ SMI – Brochure
Grant Support CosMx SMI Grant Package
Publication High-Plex Multiomic Analysis in FFPE Tissue at Single-Cellular and Subcellular Resolution by Spatial Molecular Imaging

Posters

In-situ visualization and measurement of tumor-infiltrating lymphocytes (TILs) on intact FFPE renal cell carcinoma (RCC) tissue using the spatial molecular imager (SMI) – SITC 2021

Highly sensitive transcriptomic-based pooled CRISPR screening on 1 million cells enabled by spatial molecular imager and GeoMx Digital Spatial Profiler (DSP) – ASHG 2021

Spatial Single Cell characterization of SIV reservoirs in lymphoid tissues and B cell follicles in rhesus macaques – AMP 2021

Mapping cell type, cell state, and cell-cell interactions with 1000-plex single-cell gene expression assay using spatial molecular imaging – AGBT 2021

Building a spatial single-cell multi-omics atlas and cellular interactome for skin cancer – AMP 2021