Spatial biology services provide high quality insights

Enabled by our expert team of scientists
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End-to-end deep immunophenotyping services

A high-efficiency lab providing spatial biology services to help you define mechanisms of action, disease indications, and patient stratification.

We evaluate 51+ protein and RNA biomarkers on human and murine tissues to assess spatial relationships, providing a detailed window into disease biology and therapeutic action.

Generate multi-modal data

Our Spatial Biology Lab generates multiplexed images from clinically annotated patient samples for downstream analysis.

Clinically Annotated H&E

Hyper-plex Immunofluorescence

Spatial Transcriptomics

Analyze datasets with single cell precision

Our analysis lab segments and phenotypes each cell in the tissue based on the assessed biomarkers to explore spatial relationships between various cells in the disease tissue.

Cell Clustering & Phenotyping

Neighborhood Analysis

Pathway Analysis

Integrate multi-modal datasets to obtain high-quality insights

We uncover spatial relationships between the various cohorts under study to evaluate mechanism of action, explore relevant biomarkers, and stratify patients based on their cellular phenotypes.

See how our services have been used
See how others are accelerating their workflow with Enable Medicine
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Renu Dhanasekaran, MD
Stanford University
I have greatly enjoyed working with the amazing team of scientists at Enable Medicine! They have enabled us to generate high quality spatial biology data in a short period of time. More importantly, they have offered real-time, responsive and knowledgeable input regarding analysis pipelines.
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Arutha Kulasinghe, PhD
University of Queensland
Working with the team at Enable Medicine has been a seamless collaboration. Their shared vision for spatial biology and applications for cancer and COVID-19 has been one of our team's highlights for 2021. A real-world example of team science and how to develop global collaborations.
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Raymond Cho, MD, PhD & Jeffrey Cheng, MD, PhD
University of California, San Francisco
Our laboratory at UCSF has spent the past year establishing the first cutaneous immunospatial profiling database in close collaboration with Enable Medicine. Their outstanding technical and analytic expertise has proved critical in solving the challenges posed by the complex structure of human skin.

Supported Data Types

Multi-modal data integration and generation with our partners

Proteomic assays

Transcriptomic assays

Don’t see your data type?
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