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Spatial signatures—a new standard for predictive value

Spatial signatures are a defined set of measurable features that capture spatial relationships and protein co-expression within specific cellular subsets and can be evaluated across samples. The Akoya PhenoImager HT 2.0 helps researchers identify and characterize spatial signatures at scale, enabling the development of spatially predictive signatures to inform drug development, patient selection, precision medicine, and biomarker research.

Spatial signatures 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

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

Quantify

Convert spatial complexity into structured, reproducible data. The PhenoImager HT 2.0 enables quantification of 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

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.

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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).

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Publications featuring the PhenoImager HT 2.0

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PhenoImager HT 2.0 specifications

Fast, high-throughput multispectral imaging system with onboard spectral unmixing for scalable spatial phenotyping

Tissue formats

Tissue microarrays and tissue sections

Multispectral range

440–780 nm

Modality

Brightfield and fluorescence (multispectral or color)

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Speak to a spatial biology expert about the PhenoImager HT 2.0