CosMx® Spatial Molecular Imager

High fidelity, spatial exploration of the single cell whole transcriptome
CosMx™ SMI for Single-Cell Imaging instrument photo

Elevate your single-cell research with CosMx® SMI, the high fidelity Spatial Single-Cell Imaging Platform.

CosMx SMI is the only in situ imaging platform to offer whole transcriptome single-cell spatial biology with unmatched accuracy, sensitivity, and genomic breadth. It provides spatial multiomics with formalin-fixed paraffin-embedded (FFPE) and fresh frozen (FF) tissue samples at single cell and subcellular resolution.

CosMx SMI enables rapid quantification and visualization of the entire whole transcriptome and 64 validated proteins, delivering best-in-class performance for the discovery of unknown and unexpected biology. Capture the story of every cell-to-cell interaction from an entire tissue section with this industry leading, spatial single-cell imaging platform, and drive deeper insights for cell atlasing, tissue phenotyping, cell-cell interactions, cellular processes, and biomarker discovery.

Unmatched Single Cell Spatial Sensitivity and Cell-Segmentation with CosMx 2.0

The latest software upgrade for CosMx (v2.0) delivers 1.5 to 2x sensitivity increases and best in class cell segmentation across all assays.

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
Unmatched Sensitivity
True Single-Cell Segmentation
Spatial Multiomics
High-Plex Assays

Comprehensive answers with over 18,000 plex RNA assays in a single experiment


6K Discovery 6175-plex, Human

Whole Transcriptome ~19,000-plex, Human

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.

Unmatched Sensitivity

CosMx SMI delivers the highest level of sensitivity, capturing the largest number of transcripts per cell and unique genes per cell versus all other spatial imaging platforms on FFPE samples.

Total transcripts per cell

Unique genes per cell


Example: multiple serial section comparative study


CosMx SMI

Other

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

CosMx SMI vs. Xenium: Comparative Analysis of Breast Cancer Tissue Samples

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.

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

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Related Resources

Brochure/eBook CosMx™ SMI – Brochure
Whitepaper Evaluating the Technical Performance of Single-Cell Spatial Molecular Imaging Technologies
Grant Support CosMx SMI Grant Package
Publication High-Plex Multiomic Analysis in FFPE Tissue at Single-Cellular and Subcellular Resolution by Spatial Molecular Imaging
Manual/Instructions NanoU Training Videos
CosMx SMI Performance

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 »

Publications & Posters

A spatially-resolved, single-cell analysis of human olfactory cleft mucosa highlights the transcriptional dysregulation in sustentacular cells with SARS-CoV-2 viral load

SfN 2023: Uncover laminar organization of the developing human neocortex using 6,000-plex RNA spatial imaging

SfN 2023: A Multi-Omics Cell Segmentation Pipeline Using RNA Spots and High-Plex Protein Neuro Images

Path to the holy grail of spatial biology: Spatial single-cell whole transcriptomes using 6000-plex spatial molecular imaging on FFPE tissue – AACR 2023

Single cell spatial molecular imaging of 76-plex proteins in clinical cancer samples in response to personalized treatment – AACR 2023

A complete pipeline for high-plex spatial proteomic profiling and analysis on the CosMx™ spatial molecular imager and AtoMx™ spatial informatics platform – AACR 2023

Spatial transcriptomic profiling of the human and mouse retina prepared with CryoJane Tape Transfer System using GeoMx and CosMx spatial analysis – AACR 2023

Spatial insights into tumor immune evasion illuminated with 1000-plex RNA profiling with CosMx Spatial Molecular Imager – AACR 2023

Whole Transcriptome Single Cell Spatial Imaging of Tumor vs Normal Tissue Microarray – AACR 2025

High-resolution and AI-enabled single-cell spatial transcriptomics and histopathology integrated to reveal tumor differentiation and immune exclusion in skin squamous cell carcinoma – AACR 2025