AI Application Catalogue

 

Image analysis and extraction of relevant data are major challenges in Digital Pathology. With the Keen Eye AI App Catalogue, you can explore which application is best for your project, according to the therapeutic area or image modality you are working on. These deep learning-based applications have been developed by Keen Eye's expert team of Data Scientists, in close collaboration with experienced pathologists. Our applications can be used in both Research and Clinical projects.

Explore our applications and access the power of deep learning!

  • Image Modality
ImmunoOncoPlex, mIF

Panel: CD3, CD4, CD8, CD68, PD-L1, FoxP3, Ki67 & CK. Outputs: spatial analysis, immune response

ImmunoOncoPlex, mIF
ImmunoOncoPlex, mIF
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Cell detection, IF

DAPI detection. Output: cell number and position

Cell detection, IF
Cell detection, IF
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B cell population, IF

Biomarker classification: CD20. Outputs: cell phenotyping, spatial analysis

B cell population, IF
B cell population, IF
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T cell population, IF

Biomarker classification: CD3, CD4, CD8. Outputs: cell phenotyping, spatial analysis

T cell population, IF
T cell population, IF
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Macrophage population, IF

Biomarker classification: CD68. Output: cell phenotyping, spatial analysis

Macrophage population, IF
Macrophage population, IF
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Cell activity, IF

Biomarker detection: PD-L1, PD-1, Ki67, CASP3. Outputs: apoptosis, proliferative & inhibitory cells

Cell activity, IF
Cell activity, IF
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Tumor component, IF

Biomarker detection: cytokeratin. Outputs: tumor detection & segmentation

Tumor component, IF
Tumor component, IF
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CustomPlex, mIF

Define your own panel. Output: spatial analysis, t-SNE, cell infitration

CustomPlex, mIF
CustomPlex, mIF
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