Spatial Biology

Accelerate your biomarker discovery with high-plex spatial technology

Spatial Biomarker Characterization

At Lanterne Dx, our spatial biology platform combines whole-slide imaging at single-cell resolution with advanced spatial analytics to visualize and quantify biomarker expression across the entire tissue landscape. This enables a comprehensive understanding of cellular organization, cell–cell interactions, and microenvironmental dynamics within complex tissues.

High-Plex Spatial Technologies

Using high-plex technologies such as the PhenoCycler® Fusion system provided by Akoya Biosciences, we deliver unparalleled depth in spatial biomarker analysis. This technology enables high-dimensional imaging across large tissue areas while preserving spatial context at single-cell resolution—offering a powerful tool for translational research and immuno-oncology discovery.

Pre-Validated IO Panel for High-Plex Spatial Phenotyping

Our pre-validated Immuno-Oncology (IO) panel is optimized for use with the PhenoCycler Fusion platform, enabling high-plex spatial phenotyping that can identify up to 17 distinct cell phenotypes within a single tissue section.
These include, but are not limited to:

  • B cells
  • Cytotoxic T cells
  • Endothelial cells
  • Monocytes
  • Plasma cells
  • Macrophages
  • Helper T cells
  • Dendritic cells
  • Fibroblasts
  • …and more.

This panel provides a comprehensive view of the immune landscape, allowing precise characterization of immune infiltration patterns, tumor–immune interactions, and other key biological features critical for therapeutic development.

Understanding Spatial Context

Spatial biology extends beyond measuring expression levels, it reveals functional architecture and contextual relationships between cells. By integrating multiplex imaging data with advanced spatial analysis, we map cellular neighborhoods, quantify immune cell proximity, and uncover spatial biomarkers linked to disease progression and treatment response.

Our Spatial Biology Capabilities

  • Quantitative mapping of biomarker co-expression
  • Single-cell resolution imaging across entire tissue sections
  • Cell–cell interaction and neighborhood profiling
  • Identification of spatially defined cell phenotypes
  • Enhanced decision-making for patient selection and clinical trial design
 
 

Applications

Spatial biomarker characterization delivers critical insights for:

  • Oncology and immunotherapy research
  • Drug discovery and mechanism-of-action studies
  • Biomarker validation and translational research
  • Clinical trial enrichment and patient stratification
 
 

Contact

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