Spatial signatures—a new standard for predictive value
Spatial signatures are predictive biomarkers based on spatial relationships and protein co-expression of specific cellular subsets assessed within the context of the tumor microenvironment (TME). These spatially determined predictive biomarkers measured by multiplex immunofluorescence (mIF) provide deeper insights into tumor-immune biology and can inform treatment response.
Predictive outcomes within the TME can be based on the presence or absence of a spatial signature, proximity of different signatures to one another, density of a spatial signature, or the combination of these features.
Visualize
Reveal the spatial organization of cells across entire tissue sections with multispectral imaging. The PhenoImager HT 2.0 makes complex tumor–immune architecture visible, enabling researchers to detect meaningful spatial patterns that form the foundation of predictive biomarker development.
Quantify
Convert spatial complexity into structured, reproducible data. The PhenoImager HT 2.0 quantifies cell types, marker expression, and spatial relationships, allowing researchers to measure subtle differences across samples and generate the robust spatial metrics required for predictive modeling.
Predict
Leverage spatial signatures—such as proximity, density, and colocalization—to identify biomarkers linked to treatment response and clinical outcomes. The PhenoImager HT 2.0 provides the spatial data needed to build predictive insights that advance precision healthcare.
Spatial signatures outperform other biomarker modalities in predicting immunotherapy response
A large-scale meta-analysis of data from more than 50 studies, ten types of cancer, and outcome data from more than 8,000 patients published in JAMA Oncology showed that spatial phenotyping measured by mIF more accurately predicts patient response to anti-PD-1/PD-L1 therapy than other biomarker assays, including PD-L1 immunohistochemistry (IHC), tumor mutational burden (TMB), and gene expression profiling (GEP).
Experience the fastest solution for spatial signatures
The PhenoImager HT 2.0 provides whole-slide, highly accurate quantitative assessment of diverse immune phenotypes within the TME, capturing both tissue context and spatial distribution at single-cell resolution.
As the premier and most-cited imager for spatial phenotyping, the PhenoImager HT 2.0 is a fast, user-friendly yet powerful whole-slide imaging platform ideally suited to help researchers develop spatial signatures at scale and integrate into high-throughput workflows.
- Brightfield and fluorescence imaging
- Onboard spectral unmixing running in parallel with scanning
- More than 400 slides processed in a week with walk-away automation
- Six-plex, whole-slide scans in less than twelve minutes
Publications featuring the PhenoImager HT 2.0
An optimized technology stack with data interoperability
To develop spatial signatures at scale, the PhenoImager HT 2.0 equips researchers with a unique technology stack combining onboard spectral unmixing, rapid imaging, and manageable data outputs.
Technology
Accurate mIF analysis is often complicated with issues such as tissue autofluorescence and spectral overlap.
Our patented MSI and spectral unmixing technology applied to stained fluorescent images can isolate autofluorescence, increasing spatial phenotyping accuracy by up to 50%.
Data analysis
Our QPTIFF file format renders files that are manageable with gigabyte-sized files that preserve high-quality images. Files seamlessly integrate into the PhenoImager HT 2.0 image analysis software suite that includes Phenochart, inForm, and phenoptr Reports, the platforms of our data-analysis partners, and open-source solutions.
The first multi-institutional analytical demonstration of a spatial biology workflow
The MITRE Study established the high reproducibility and robustness of the PhenoImager HT 2.0 for spatial phenotyping in clinical and translational research.
Ready-to-use, optimized panels for the PhenoImager HT 2.0
The PhenoCode Signature Panels streamline staining workflows and take a third of the time to develop a predictive assay. One additional marker can be added to a five-plex panel to address a specific research question.
Fast, high-throughput multispectral imaging system with onboard spectral unmixing for scalable spatial phenotyping
Tissue microarrays and tissue sections
440–780 nm
Brightfield and fluorescence (multispectral or color)