Ultivue – Image Analysis

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A complete spatial analysis of the tumor

biology requires comprehensive image

analysis.

 

We can help you tease out the most

important findings from your images.

 

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Product Description

Using the latest innovations in the field of computational pathology, our expert team of image and data analysis specialists can help you determine the phenotypes present, find the regional differences in immune response, and understand the underlying biology to inform your trial design.

Standard Image Analysis

Define specific tumor and non-tumor regions
Look at the specific phenotypes within those compartments
Identify cell populations in the tissue
Classify meaningful phenotypes based on the biomarkers

Ultivue - Digital Pathology
Ultivue - Digital Pathology

Standard Image Analysis

Define specific tumor and non-tumor regions
Look at the specific phenotypes within those compartments
Identify cell populations in the tissue
Classify meaningful phenotypes based on the biomarkers

Ultivue - Digital Pathology
Ultivue - Digital Pathology
Ultivue - Digital Pathology
Ultivue - Digital Pathology

Spatial analysis of the tissue microenvironment

 

Explore the biology of your tissues across cohorts, studies, and indications. Image analysis gives you control over the overwhelming wealth of signals that multiplex immunofluorescence can provide. Add readouts curated to help you understand and structure your images, allowing you to find the information that can be converted to knowledge.

Customized image analysis

Evaluate spatial relationships
Look at cell clustering, dispersion and co-localization
Find immune excluded regions and much more
Compare biomarker profiles
Confirm differences between groups within the data set
Look at the effects of different treatment plans over time

Ultivue - Digital Pathology
Ultivue - Digital Pathology

Customized image analysis

Evaluate spatial relationships
Look at cell clustering, dispersion and co-localization
Find immune excluded regions and much more
Compare biomarker profiles
Confirm differences between groups within the data set
Look at the effects of different treatment plans over time

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