Image analysis & Data mining
A complete spatial analysis of the tumor biology requires comprehensive image analysis. Using the latest innovations in the field of computational pathology, our expert team of image and data analysis specialists can help you tease out the most important findings from your images. Determine the phenotypes present, find the regional differences in immune response, and understand the underlying biology to inform your trial design.
Partner with a team of image analysis experts
Visualize and interpret the scientific value in your research
Standard image analysis
Standard image analysis can be applied to any pre-configured or custom panel of biomarkers. Improve your understanding of the biological processes at work in your tissues with a quantitative summary of the regions and phenotypes present.
Identify cell populations in the tissue
Classify meaningful phenotypes based on the biomarkers
Define specific tumor and non-tumor regions
Look at the specific phenotypes within those compartments
Custom image analysis
Customized image analysis allows you to get a more in-depth and tailored analysis of the tissues. With expertise in both the latest scientific findings and deep technical knowledge of image and data analysis, we will work together with you to create robust and meaningful solutions.
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
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.
For which indications is my drug candidate most efficacious?
After discovering an interesting drug candidate, finding the most promising indications to focus on for the next stage of drug development is often the next step. Once a predictive biomarker signature has been identified, this panel of markers can be applied across many indications.
How does the tumor micro-environment change after treatment with a new drug?
After the identification and initial work to determine a potential new drug candidate, data from a small Phase 1 study with a low number of patients and multiple drug doses is available. Tumor samples were collected pre-treatment and post-treatment and from earlier studies the drug candidate’s expected mode of action is known.
What is the most relevant assay for my study?
In the early exploratory phase of drug development, researchers need to identify the markers, phenotypes, spatial interactions which can best distinguish different patient groups, such as responders versus non-responders. There may be many ideas about which markers, phenotypes or spatial interactions might be predictive, but its important to narrow down this long list of possibilities to the most promising subset of markers.
Partner with a team of ground-breaking image analysis experts
From choosing the right markers to finding the results that illuminate your data, Ultivue is committed to helping you visualize and interpret the scientific value in your research. Finding solutions that move the needle for discovery and translate into actionable data that can inform decision-making is at the heart of our image analysis team. With expertise in both the latest scientific findings and deep technical knowledge of image analysis, we are excited to work together with you to create robust and meaningful solutions.Contact us