Lung PD-L1 AI

PD-L1 IHC digital slide (left) with Lung PD-L1 AI markup (right) identifying negative tumor cells (cyan), positive tumor cells (magenta), and other cells (yellow).

Developed by Indica Labs, the Lung PD-L1 AI solution leverages deep learning that standardizes scoring of PD-L1 IHC in non-small cell lung cancer (NSCLC) tissue samples. The algorithm reports quantitative results and markup images, including tumor detection, cell phenotyping based off the PD-L1 staining, and tumor proportion score (TPS).

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Lung PD-L1 AI is For Research Use Only and not intended for clinical diagnostic use. Lung PD-L1 AI accessed via the Aperio HALO AP image management system.

Lung PD-L1 AI quantitative slide results

PD-L1 IHC stained lung tissue

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Step 1: Lung PD-L1 IHC Image

Lung PD-L1 AI standardizes and automates precision TPS scoring of PD-L1 IHC-stained lung cancer resections, excisions and biopsy samples.

The algorithm can be launched by a user directly in the viewer or configured to automatically run for every Lung PD-L1 image in Aperio HALO AP.

Lung PD-L1 AI tumor heatmap

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Step 2: Lung PD-L1 AI Tumor Detection

An image analysis heatmap mask is generated for each slide, denoting regions within the sample containing lung cancer.

Prior to this step, image analysis pre-processing excludes artefact, benign epithelial tissue and macrophages.

The following metrics are calculated as outputs for each slide:

Tumor Area
Other Area
% Tumor Area
Classified Area

Lung PD-L1 AI scoring markup

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Step 3: PD-L1 Cell Classification

Lung PD-L1 AI generates an image mask for every cancer cell within the tumor region, denoting the following cell classes:

Positive PD-L1 Cancer Cell: Cyan
Negative PD-L1 Cancer Cell : Red
Non-Cancer Cell: Yellow

Lung PD-L1 AI quantitative slide results

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PD-L1 Scoring Metrics

Lung PD-L1 AI generates the following metrics as output for within the tumor regions across the image:

Tumor Proportion Score (TPS)
Total Cells
Total Tumor Cells
Other Cells
PD-L1 Tumor Positive Cells
PD-L1 Tumor Negative Cells

Lung PD-L1 AI in Aperio HALO AP Demonstration

Explore the future of pathology with the Lung PD-L1 AI app from Indica Labs. Lung PD-L1 AI seamlessly integrates within the Aperio HALO AP enterprise digital pathology platform to identify PD-L1 positive and PD-L1 negative tumor cells in NSCLC tissue.

After selecting an image, view the IHC slide in the viewer and the Lung PD-L1 AI results. Results include overlays and quantitative results. The first set of overlays prepare the tissue for analysis by identifying areas of analyzable tissue. The next overlay identifies areas of tumor in the sample. The final overlay identifies PD-L1 positive and negative tumor cells within the tumor area. Finally, quantitative results are displayed in the assay panel to the right and include a tumor proportion score (TPS).