Overview

Lung Macrodissect AI is an AI-powered tool that quantifies tumor content and guides ROI selection to enhance macrodissection workflows and downstream molecular analysis in cases of non-small cell lung cancer.

Intended Use

Lung Macrodissect AI is not intended to be used as a diagnostic tool.

Inputs

H&E whole slide images from primary and metastatic NSCLC resections, excisions, and/or core needle biopsies

Key Outputs

• Tumor cell density heatmap
• Total cell count
• Tumor cell count
• Percent tumor content for whole slide image and dissection ROIs

File Formats:

• Non-proprietary (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)
• *whole-slide images

Benefits

Increase Quality

Lung Macrodissect AI reliably quantifies tumor content for downstream molecular analysis, ensuring the quality of downstream test results.

Streamline Workflows and Save Resources

With automated tumor content analysis, you can streamline your ROI selection process and save time.

Auditable Process

Create an auditable macrodissection workflow, ensuring transparency and efficiency.

Other

Lung Macrodissect AI simplifies the macrodissection process. Pathologists need only use the intuitive annotation tools provided in HALO AP® to select areas for downstream analysis by following the easy-to-read heatmap. Tumor content results for annotated ROIs are updated in real time.

Macrodissection Reinvented

Lung Macrodissect AI enhances macrodissection workflows with precision and automation. H&E slides are scanned into HALO AP®, where Lung Macrodissect AI detects all tissue present on the slide, removing background glass and artifacts from the analysis. Benign epithelial regions are classified separately and their cell count is added to the tumor content results. Cells are then phenotyped as either ‘tumor’ or ‘other’ cells. A detailed tumor density heatmap is generated, which assists pathologists in creating precise ROI annotations for downstream macrodissection.