Targeted Labs Pro™
The AI Platform Powering the Future of Science and Personalized Medicine
Import leading image analysis and spatial biology analysis files for multi modal analysis
Powerful image and workflow management is at the core of Targeted Labs Pro.
Telepathology/Collaboration
Collaborate with confidence with Targeted Labs Pro™, where seamless communication with fellow scientists is at your fingertips. Share tissue slide annotations and data within your network, and message collaborators for their thoughts on complex histology and data analysis.
Enjoy the convenience of uploading annotations from the AccuLift™ Tissue Molecular Profiler to Targeted Labs Pro™ platform—and vice versa—bridging the gap between digital pathology and tangible results and ensuring your data is easily accessible.
Digital Twin:
Bridging Digital Pathology and Physical Results
The Digital Twin technology is a cutting-edge feature in Targeted Labs Pro™. It enables seamless synchronization between digital annotations and physical sample microdissection, translating virtual data into precise, real-world outcomes. By generating high-resolution whole-slide scans and using AI-driven tools, Digital Twin enhances tissue visualization, enabling researchers to accurately identify, annotate, and extract cells of interest for further molecular analysis. This innovation offers a new level of precision and insight, helping users better understand the tissue microenvironment.
Image Analysis Integration
Bypass the tedious process of annotation by utilizing Halo and other compatible quantitative image analysis platforms to rapidly identify and markup cells of interest from high resolution whole slide scans. Image analysis overlays and annotations can be
uploaded to Targeted Labs Pro™ an shared with collaborators or organized and edited for downstream laser capture microdssection.
Data Analysis
After data integration, Targeted Labs Pro™ automatically generates graphs and charts to represent the uploaded biomolecular data. Users can easily compare different datasets through the platform’s analytical tools and access string maps that chart the associations
between biomolecules found in each sample.