Histopathology laboratory AI platform SlideRightQA

medical imagingdata managementimage analysis

Short description
AI-powered quality assurance for digital pathology laboratories that automates review of whole-slide images (WSI) to detect out-of-focus areas, missed tissue and other scan-quality issues, enabling efficient QC triage and routing.

Key features

• Automated detection of slide scan quality including edge cases
• Centralized dashboard with filtering and prioritization for QC staff
• Vendor-neutral software design to integrate with heterogeneous scanner and LIS environments
• Streamlined workflow efficiency
  • Reduced turnaround times
  • Reduced manual review hours
  • Resource optimization
  • Minimized rework expenses

Overview
SlideRightQA supports continuous process improvement in digital pathology by automating quality review of whole-slide images (WSI). The solution flags issues such as out-of-focus regions, missed tissue and other scan defects so that only diagnostically acceptable images are forwarded to pathologists' queues. Continuous operation reduces the need for manual inspection of every WSI and helps laboratories improve throughput and consistency.

Benefits

• Detects image quality issues (e.g. out of focus, missed tissue) to prevent low-quality slides from advancing in the workflow
• Enables prioritization and triage via a centralized, intuitive dashboard for QC staff
• Operates continuously to reduce manual QC workload and increase throughput
• Vendor-neutral integration approach to fit into heterogeneous scanner and software environments

Notes
The product is described as an automated, vendor-neutral QC solution tailored for pathology QC teams; it focuses on quality detection and workflow optimization without dependence on specific scanner vendors.

Technical specifications

• Article / product number: K9302905
• Product ID (internal): b7bf9101-b3a4-4226-b49b-f84b2d357dad
• AI-powered whole slide image (WSI) quality assurance software
• Primary detections: out of focus, missed tissue and similar scan quality issues (including edge cases)
• Centralized dashboard for QC staff with filtering and prioritization
• Vendor-neutral software design
• Published / listed date on site: 06/26/2025