Lunit SCOPE PD-L1 22C3 Bladder (RUO)

Lunit SCOPE PD-L1 22C3 Bladder (RUO)

Lunit SCOPE is an Artificial Intelligence (AI)-based digital pathology image analysis software that empowers researchers to improve accuracy, scoring agreement, and workflow efficiency. Lunit SCOPE PD-L1 assists in the detection and quantification of PD-L1 expression in digitized whole slide images stained with PD-L1 22C3 pharmDx assay.

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For Research Use Only. Not for use in diagnostic procedures or decisions.

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Instant and automated identification of PD-L1 positive and negative tumor cells & immune cells
Accurate Combined Proportion Score (CPS) scoring on whole slide image (WSI) level or in Area of Interest (AoI)
Visualization of PD-L1 expression on the cutoff map
Instant and automated identification of PD-L1 positive and negative tumor cells & immune cells
Instant and automated identification of PD-L1 positive and negative tumor cells & immune cells
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Instant and automated identification of PD-L1 positive and negative tumor cells & immune cells

Trained with 1M+ cell annotations by 150+ pathologists worldwide, Lunit SCOPE PD-L1 quickly calculates PD-L1 tumor & immune cell positivity and enables visualization at a cellular level.

Accurate Combined Proportion Score (CPS) scoring on whole slide image (WSI) level or in Area of Interest (AoI)
Accurate Combined Proportion Score (CPS) scoring on whole slide image (WSI) level or in Area of Interest (AoI)
Zoom Zoom image

Accurate Combined Positive Score (CPS) scoring on whole slide image (WSI) level or in Region of Interest (RoI)

Reliable assessment of CPS (combined proportion score) that helps reducing intra- and inter-observer discrepancy and improves accuracy for edge cases

Visualization of PD-L1 expression on the cutoff map
Visualization of PD-L1 expression on the cutoff map
Zoom Zoom image

Visualization of PD-L1 expression on the cutoff map

Lunit SCOPE PD-L1 CPS cutoff map offers visual identification of PD-L1 expression into 2 cut-off classifications (≥10, and <10) for deeper understanding on intra-tumoral heterogeneity

Lunit SCOPE PD-L1 22C3 Bladder (RUO) Demonstration

Designed to seamlessly integrate with the Aperio HALO AP digital pathology platform, Lunit SCOPE PD-L1 enhances workflow efficiency while delivering standardized, AI-powered PD-L1 scoring in research settings.

After selecting an image, users can review the IHC slide directly within the viewer alongside automated PD-L1 scoring results.

Comprehensive, interpretable results include:

  • Cell Detection Overlay - Individual tumor and immune cells within the tumor region are automatically identified and visually marked according to PD-L1 expression status (positive or negative), providing transparent and traceable AI outputs.
  • Quantitative Assay Panel - Detailed scoring metrics are displayed in the right-hand panel, including the Combined Proportion Score (CPS).
  • CPS Map - A color-coded spatial overlay highlights regional variations in PD-L1 expression across the slide, with each grid representing 1 mm² for precise spatial quantification.

Lunit SCOPE PD-L1 delivers standardized, reproducible scoring with clear visual validation—supporting research applications with greater confidence and efficiency.

Specifications

Scanner: Supported whole slide image formats: 3D Histech (.MRXS), Aperio (.SVS), and Hamamatsu (.NDPI).
Algorithm: Lunit SCOPE® PD-L1
Assay: PD-L1 IHC 22C3 pharmDx
Tissue Type: Bladder cancer
Scoring: CPS
Regulatory status: Research Use Only (RUO)