GeoMx® Digital Spatial Profiler

Measure Where Biology Happens
GeoMx Digital Spatial Profiler - Spatial Biology

GeoMx® DSP: A Flexible & Scalable Platform for Spatial Biology

Quickly resolve tissue heterogeneity and the complexity of microenvironments with the GeoMx Digital Spatial Profiler (DSP), the most flexible and robust spatial multiomic platform for analysis of FFPE and fresh frozen tissue sections. GeoMx is the only spatial biology platform that non-destructively profiles expression of RNA and protein from distinct tissue compartments and cell populations with an automated and scalable workflow that integrates with standard histology staining.

What Can You Do with GeoMx DSP?

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Profile the Whole Transcriptome and 570+ Proteins from Intact Tissue

Spatially profile the whole transcriptome and 570+ protein targets separately or simultaneously from your choice of sample inputs: whole tissue sections, tissue microarrays (TMAs), or organoids. Make GeoMx DSP your spatial biology platform of choice for biomarker discovery and hypothesis testing.

You Decide Where to Draw the Line
with Biology-Driven Profiling

Decide where to draw the line and let the tissue be your guide with biology-driven profiling that empowers you to choose the tissue microenvironments and cell types that matter most to you. Choose which regions to profile and segment each region into different compartments using fluorescent staining patterns as a mask to profile expression in certain tissue types or cell populations.

GeoMx tissue structures and cell-type masks leading to a volcano plot

The GeoMx DSP Advantage

Biology-driven Profiling
High-Plex Multiomics
Biology-driven Profiling

Capture tissue heterogeneity through flexible profiling

Geometric Profiling

What is the heterogeneity of expression in different regions of my


What is the expression profile of distinct biological compartments
(e.g., Tumor-TME)?


How does the immune environment change on either side of an infiltrate


Take advantage of probe-based chemistry to access five logs of dynamic range for detecting low, medium, and high expressors and handle tissue quality variability.

High-Plex Multiomics

Analyze the differential expression of 570+ proteins and the whole transcriptome spatially on the same tissue section or on serial sections to get a complete proteogenomic picture of cell state, signal transduction, and biological pathways to find new biomarkers, drug targets, and drug mechanism of action.

The differential expression of genes and proteins measured simultaneously in GFAP- vs. CD45-enriched areas of glioblastoma multiform tissue sections using the GeoMx Spatial Proteogenomics workflow.

Get consistent results and reliable answers on a reproducible platform ideal for large cohort studies across multiple sites.


Scale up to large cohort studies with a workflow that can be automated. Use the large scan area to maximize the number of samples per slide by placing multiple tissue samples per slide or by using a tissue microarray. Automate staining prep on the BOND RX or RXM Fully Automated Research Stainer from Leica Biosystems; stain slides in batches and store them in the fridge to run together later with no effect on performance. Use AI-driven digital pathology software from Visiopharm to support ROI selection. Take advantage of a throughput of up to 40 slides/week with unattended overnight runs and leverage integration with Illumina’s sequencing platforms and data analyis pipelines.


Spike-in probes for RNA or protein targets of your choice whether they are exogenous, endogenous, microbial, viral, or any non-human species. Take advantage of our GeoMx Barcoding Service. Spike-in up to 400 RNA targets into any NGS readout assay or run two panels of up to 200 targets each as a standalone RNA assay. Spike in up to 40 custom antibodies to any NGS readout protein assay or add in up to 10 antibodies to any nCounter readout protein assay.

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How It Works

The GeoMx DSP Workflow

Stain whole slides with assay probes and up to four fluorescent markers and then image them on the instrument. With fluorescent staining as your guide, decide which regions of the tissue you want to profile, and using masking, optionally profile two or more tissue compartments or cell types in each region. Quantify RNA and protein expression levels with direct, digital counting of barcodes using the nCounter® Analysis System or sequencing on an Illumina platform. Analyze your data with the provided DSP Data Analysis Suite (DSPDA), open-source tools, or our Spatial Data Analysis Service (SDAS).

GeoMx Publications

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Presence of onco-fetal neighborhoods in hepatocellular carcinoma is associated with relapse and response to immunotherapy

Onco-fetal reprogramming of the tumor ecosystem induces fetal developmental signatures in the tumor microenvironment, leading to immunosuppressive features. Here, we employed single-cell RNA sequencing, spatial transcriptomics and bulk RNA sequencing to delineate specific cell subsets involved in hepatocellular carcinoma (HCC) relapse and response to immunotherapy.

Molecular analysis of XPO1 inhibitor and gemcitabine–nab‐paclitaxel combination in KPC pancreatic cancer mouse model

Background: The majority of pancreatic ductal adenocarcinoma (PDAC) patients experience disease progression while on treatment with gemcitabine and nanoparticle albumin‐bound (nab)‐paclitaxel (GemPac) necessitating the need for a more effective treatment strategy for this refractory disease. Previously, we have demonstrated that nuclear exporter protein exportin 1 (XPO1) is a valid therapeutic target in PDAC, and the selective inhibitor of nuclear export selinexor (Sel) synergistically enhances the efficacy of GemPac in pancreatic cancer cells, spheroids and patient‐derived tumours, and had promising activity in a phase I study.

Spatial transcriptomic interrogation of the tumour-stroma boundary in a 3D engineered model of ameloblastoma

Stromal cells are key components of the tumour microenvironment (TME) and their incorporation into 3D engineered tumour-stroma models is essential for tumour mimicry. By engineering tumouroids with distinct tumour and stromal compartments, it has been possible to identify how gene expression of tumour cells is altered and influenced by the presence of different stromal cells.

Related Resources

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Brochure/eBook GeoMx DSP – Brochure
Product Bulletin GeoMx Human Whole Transcriptome Atlas – Product Bulletin
Whitepaper High Throughput Spatial-Omics Sample Processing Using the GeoMx® Digital Spatial Profiler
Product Bulletin GeoMx® IO Proteome Atlas Product Bulletin
Blog Post Spatial Transcriptomics: Birth of GeoMx® Digital Spatial Profiler
Manual/Instructions NanoU Training Videos

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