Unifying research, accelerating discovery

Centralized
Data Management

Create robust, well-curated studies of images and metadata from various sources. With Concentriq for Research, you can eliminate silos to easily incorporate pathology data and analysis results into studies and projects that accommodate any research workflow. Useful features include:

• Robust metadata support for wide-ranging and configurable metadata field types
• Field libraries that standardize data organization and enhance the value of global search functionality
• Templated studies to drive consistency in study structure across the organization
• Searchability of data across and within studies, including image analysis results

Integrated
Image Analysis

Realize the full potential of quantitative analysis and computational pathology by unifying image management and image analysis in a single solution. Better incorporate analysis results into studies and facilitate the use of a comprehensive portfolio of third-party and custom-built image analysis applications with features including:

• Support for leading image analysis vendors
• Advanced bidirectional integration with Visiopharm, creating a unified experience for image management and image analysis
• Robust API for the onboarding of custom-built image analysis and AI applications
• Visualization of image mark-ups and overlays

Remote
Collaboration

Engage with colleagues, peers, and CROs through real-time and asynchronous collaboration and sharing. Secure, global accessibility to a high-performance image management and viewing system makes it fast and easy to share studies and connect for live remote-review sessions. Concentriq for Research enables:

• Global, secure access to study images and data
• Granular, user-configurable role- and study-based permissions
• Live engagement on whole slide images through a collaboration mode
• Real-time, in-app notifications to help teams work more efficiently

Automated
Data Capture

Save time and improve data quality by automating the labor-intensive processes of ingesting and organizing images and metadata. Concentriq for Research provides an easy-to-use interface, helping to standardize and accelerate day-to-day digital pathology work with features including:

• Mass data migration services for rapidly onboarding large amounts of new data
• Onboarding services for the migration of existing databases of images, metadata, and annotations
• Automatic image ingestion based on a monitored location
• Automatic organization of images based on file names or information encoded in 1D and 2D barcodes
• Bi-directional integration with data systems including LIS and ELN

Administrative
Capabilities

As digital pathology becomes a more routine aspect of research and discovery, scalability across the enterprise becomes increasingly critical. Concentriq for Research makes adoption and scale up easy, with features including:

• Configurable user roles and permissions that span across the organization
• Robust and intuitive administrative capabilities for user management and role assignment
• Study-based view, edit, and sharing management
• Rapid and secure sharing across teams and department

Functionalizing
Big Data

As a best-in-class image management system, Concentriq for Research helps turn volumes of whole slide images into a well-curated, scalable, and easily accessible database of pathology information. Concentriq for Research enables life sciences organizations to become some of the biggest “big data” companies with key functionality including:

• Searchability of data across and within studies, including image analysis results
• Field libraries and study templates that drive consistency and add structure to data organization
• Integration with other data sources to centralize the management of pathology information