Automated Quality Control (QC) is an AI-enabled module specifically developed for performing quality control on digital pathology images. Seamlessly embedded within the Concentriq® LS platform, this solution efficiently detects and segments images containing artifacts. By identifying and isolating problematic images, Automated QC helps laboratories optimize their quality control processes, leading to a significant improvement in the overall quality of data used for research and diagnostic purposes. Proscia’s Automated QC module stands out due to its comprehensive training and validation. It has been trained and rigorously tested on an exceptionally diverse and extensive dataset, surpassing other automated quality control solutions currently available. The validation process involved training on over 70,000 whole slide images (WSIs) and a performance assessment on more than 10,000 WSIs, ensuring high accuracy and reliability in artifact detection within digital pathology workflows.

Features & Benefits

• AI-Powered Image Quality Control
  • Utilizes artificial intelligence to detect and segment images containing artifacts, ensuring high data quality.
• Seamless Workflow Integration
  • Embedded directly within the Concentriq® LS platform, streamlining the QC process within existing laboratory workflows.
• Robust Validation & Accuracy
  • Trained on over 70,000 whole slide images (WSIs) and assessed on over 10,000 WSIs, providing comprehensive and accurate artifact detection.
• Optimized Data Quality for Research
  • Helps laboratories improve the quality of data, which is critical for driving research and diagnostic insights.