Product Description
Spatial phenomics is the discipline of mining tissue images in their own context to identify spatial patterns that are related to clinical outcomes. It involves every step from assay development and application, scanning, image analysis and data mining.
Cell Quantification
Identify cell populations in the tissue and quantify them into meaningful phenotypes based on the selected biomarkers.
Tissue Compartmentalization
The analysis of cell populations in different tissue compartments. Cytokeratin staining can be used to define tumor and non-tumor regions and to distinguish cell populations within those regions.
Whole Slide Imaging
Our signal amplification technology creates a linear relationship of biomarker abundance and staining intensity with superior signal to noise ration ideal for image analysis.
Cell Quantification
Identify cell populations in the tissue and quantify them into meaningful phenotypes based on the selected biomarkers.
Tissue Compartmentalization
The analysis of cell populations in different tissue compartments. Cytokeratin staining can be used to define tumor and non-tumor regions and to distinguish cell populations within those regions.
Whole Slide Imaging
Our signal amplification technology creates a linear relationship of biomarker abundance and staining intensity with superior signal to noise ration ideal for image analysis.
Bridging translational research and diagnostics
With an extensive menu of markers and panels you can select between 4 – 12 markers to efficiently test and iterate on several hypotheses quickly and robustly.
High plex assays help you show feasibility and identify the most relevant biomarkers to move into the next stage of the pipeline, where you can expand the number of cases and reduce complexity to those most relevant for a larger study.
In the ideal case, the biomarkers can be even further reduced by applying the algorithms developed at the earlier stages to H&E or IHC stained samples as the project moves towards a potential diagnostic application.
