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Lung PD-L1 AI

Automated PD-L1 IHC scoring for NSCLC whole slide images, standardizing Tumor Proportion Score assessment across SP263 and 22C3 clones.

Solution by Indica Labs
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Overview

Lung PD-L1 AI, developed by Indica Labs, is an automated, AI-based decision-support tool designed to standardize the scoring of PD-L1 immunohistochemistry (IHC) in non-small cell lung cancer (NSCLC). Operating on whole slide images (WSI), the algorithm produces results in accordance with established clinical scoring guidelines, helping pathologists and researchers achieve consistent, reproducible PD-L1 evaluation. Lung PD-L1 AI is intended for research use only and is not cleared for clinical diagnostic use.

The tool is seamlessly integrated into the HALO AP® diagnostic digital pathology platform from Indica Labs, enabling a fully connected anatomic pathology workflow. It accepts inputs from lung resections and core biopsies, and supports two widely used companion diagnostic clones — SP263 and 22C3 — validated on 3D Histech P1000 and Leica GT450 scanners respectively.

Key Outputs and Scoring Capabilities

  • Generates a Tumor Proportion Score (TPS) as the primary output for PD-L1 IHC evaluation in NSCLC
  • Reports a comprehensive set of results including total cell count, number of tumor cells, and number of PD-L1 positive and negative tumor cells
  • Provides built-in, validated AI-based exclusion of artifact and benign epithelial regions to ensure accurate and consistent analysis
  • Includes pathologist-verifiable markups highlighting excluded regions for transparency and quality assurance

Workflow and Efficiency Benefits

  • The algorithm can be run on slides before they are released for pathologist review, enabling faster and more informed decision-making
  • Assists pathologists and researchers in conducting more efficient PD-L1 expression evaluations
  • Standardizes PD-L1 evaluation to facilitate comparison across individuals, laboratories, and institutions, enhancing data reliability and supporting collaborative research
  • Complements pathologist expertise with an easy-to-read visual mask that highlights tumor areas and positive and negative cells using colorimetric feedback
  • Delivers cell-level information to inform the overall PD-L1 IHC evaluation process

Supported File Formats

  • Non-proprietary formats: JPG, TIF, OME.TIFF, DICOM (DCM)
  • Leica: SVS, AFI, SCN, LIF
  • Hamamatsu: NDPI, NDPIS
  • Philips: iSyntax, i2Syntax
  • 3DHistech: MRXS
  • Nikon: ND2
  • Akoya: QPTIFF, component TIFF
  • Olympus / Evident: VSI
  • Zeiss: CZI
  • Ventana: BIF
  • KFBIO: KFB, KFBF

Supported Clones and Validation

  • SP263 clone validation performed using a 3D Histech P1000 scanner
  • 22C3 clone validation performed using a Leica GT450 scanner

Lung PD-L1 AI is deployed and fully integrated into HALO AP®, which is CE-IVDR marked for in-vitro diagnostic use in Europe, the UK, and Switzerland. HALO AP® also provides built-in compliance with FDA 21 CFR Part 11, HIPAA, and GDPR. In the USA, both Lung PD-L1 AI and HALO AP® are for research use only and are not FDA cleared for clinical diagnostic use.

Meta

Domain
Digital Pathology & Imaging
Subdomain
Tissue Biomarker Quantification
Software type(s)
Analytical Platform
Deployment type(s)
Cloud / SaaS
Industry vertical(s)
Academic / ResearchBiotechCRODiagnostics / IVDPharma
Development stage(s)
Preclinical / Pre-MarketClinical
Target user(s)
Bench Scientist / Lab TechnicianResearch ScientistClinical / Diagnostic Professional
Compliance standard(s)
21 CFR Part 11HIPAAGDPR
Tag(s)
Uses AI