Director of Scientific Affairs, Ultivue
Relevant for
InSituPlex, OmniVUE™, Spatial Image Analysis, U-VUE
Description The determination of robust biomarkers is crucial for the successful development and deployment of precision cancer therapies. This presentation highlights a novel approach to accelerate biomarker discovery and spatial biology research by combining ultra-sensitive multiplex assays with AI-powered image analysis. This powerful combination allows researchers to gain deeper insights into the complexities of the tumor microenvironment. Overview of what is addressed: The use of a unique DNA-barcoded antibody technology and its impact on enabling highly sensitive and robust multiplex biomarker detection. How this approach allows for the flexible design of customized panels to suit specific research questions. Data demonstrating the technology’s high degree of reproducibility and accuracy in quantifying biomarker expression, even for low abundance targets.
Dr. Angela Vasaturo is Director of Scientific Affairs at Ultivue. Prior to Ultivue, Angela was a Senior Researcher in Dr. Jerome Galon’s Laboratory of Integrative Cancer Immunology at the Cordeliers Research Center. Angela was among the first in Europe to be involved in the development of multiplex IHC and multispectral imaging and analysis of up to six immunofluorescence markers, and today is considered a leading European expert in multiplex IHC techniques, digital pathology, spatial biology, and tissue imaging.
Presented at: AACR 2024
Relevant for
Spatial Image Analysis, Spatial Insights, STARVUE™, UltiAnalyzer.AI™
Description We present a highly scalable, cost-effective, and reliable AI workflow built with a combination of OMERO Plus, PathViewer, AWS SageMaker, and Ultivue software to efficiently manage mIF big data for digital pathology.
Ruben Cardenes, Erin Diel, Douglas Wood, Je Lee, Martin Schulze, Lorenz Rognoni
Presented at: AACR 2024
Relevant for
Spatial Image Analysis, STARVUE™, UltiAnalyzer.AI™
Description We introduce UltiAnalyzer.AI™, a software tool that integrates a set of artificial intelligence (AI) models designed for fully automatic, highly accurate, highly efficient, and fully scalable whole-slide mIF analysis. By utilizing the wide dynamic range of Ultivue’s InSituPlex® technology and cloud computing capabilities, this tool increases the robustness, reproducibility, and throughput of mIF analysis in digital pathology.
Ruben Cardenes, Douglas Wood, Martin Schulze, Je Lee, Lorenz Rognoni.
