Proscia: New in Concentriq LS: Strengthening Review Integrity and Speed

The latest from the Proscia blog

Digital pathology workflows depend on consistency, clarity, and confidence – especially as organizations scale studies, expand review teams, and incorporate AI-driven insights into everyday practice. Our latest release strengthens study integrity while enabling fast image review. Here’s what’s new:

• New study features to support consistent, unbiased slide review
• Viewer workflow enhancements that promote focus and usability
• Annotation improvements to streamline marking and review
• Incremental AI usability updates for clearer interpretation of analysis results
• Expanded scanner compatibility and administrative controls

Randomize and blind images to drive objective review

Slide order and metadata can introduce unintentional bias. Concentriq LS now supports capabilities that help maintain study objectivity during review.

• Image randomization to shuffle slide order while preserving case structure, with optional support for filtered subsets
• Metadata self blinding to selectively hide sensitive fields – such as patient identifiers or demographics – across the viewer, metadata panel, table view, and search results
• Clear visual indicators showing when randomization and blinding are active during review

What this means for you:

By supporting more objective interpretation while maintaining a single, standardized review workflow, teams can reduce variability and drive higher study integrity without introducing manual workarounds or parallel processes.

Stay focused with a cleaner viewer experience

Several updates  designed to reduce visual clutter and improve responsiveness during slide navigation help reviewers stay engaged and move fast:

• • New focus mode hides surrounding toolbars and panels to maximize your viewing area
  • Smoother pan and zooming to minimize bounce and enhance responsiveness when navigating an image
  • New controls and customizations including metadata field ordering and greater control over default navigator visibility

What this means for you:

Move through reviews easily and get to milestones faster with a cleaner, more responsive viewer that lets you focus on the image, not the interface.

Annotate faster and easily retrieve marked images

Annotations have been refined to reduce friction during active review, especially for quick marking and iterative workflows.

• New pin annotations provide a lightweight way to instantly mark points of interest without drawing regions
• Double-click save for brush and magnetic brush annotations reduces repetitive steps
• Annotation class filtering in search makes it easier to find images based on applied annotation classes. Weeks after annotating tumor-positive regions, a study lead can filter images by “Tumor” class to pull those slides in seconds instead of reviewing the full study.

What this means for you:

Mark findings efficiently during review and reliably retrieve them later – supporting smooth handoffs, focused reviews, and easier follow-up.

Scale AI analysis and refine outputs

AI analysis workflows have been optimized to support faster execution, clearer result presentation, and more flexible use of analysis outputs.

• Convert AI analysis into editable annotations directly from the Analysis details tab
• Expanded analysis outputs include SVG heatmap overlays and user-defined fields for model-specific metrics and text-based results
• Multi-image analysis applies analyses to multiple images at once with a single action
• Automatic refresh updates AI outputs in the metadata panel without requiring a manual page refresh

What this means for you:

Run AI analyses at scale and convert outputs to editable annotations – ensuring insights can be reviewed, shared, and defended without rework.

Ingest .bif Images

Concentriq LS continues to strengthen enterprise readiness with support for Roche DP200 and DP600 (.bif) image formats. Broad format support means life sciences teams can select the scanners that work for their science and bring imaging data from a wide variety of scanners into one place without conversion barriers.

Ready to see Concentriq LS in action?

Request a demo.

SOURCE: Proscia