Lung Macrodissect AI

H&E digital slide (left) with Lung Macrodissection AI markup (right) displaying the tumor cell density heatmap.

Developed by Indica Labs, Lung Macrodissect AI is a deep learning tool designed to streamline macrodissection workflows for non-small cell lung cancer (NSCLC) by quantifying tumor content to guide ROI selection and enhance downstream molecular analysis in NSCLC. Lung Macrodissect AI empowers labs with a high-throughput, user-friendly workflow to maximize efficiency.

Activate AI Now

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

Lung Macrodissect AI tumor heatmap, zoomed in

Lung Macrodissect AI quantitative slide results

H&E stained lung tissue

Zoom image

Step 1: Lung Cancer H&E Image

Lung Macrodissect AI adds precision, efficiency, and standardization to the molecular workflow through the automated tumor content reporting of colorectal 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 colorectal H&E image in Aperio HALO AP.

Lung Macrodissect AI tumor heatmap

Zoom image

Step 2: Tumor Density Heatmap

A cancer cell density heatmap is displayed allowing identification of the optimal region for downstream macrodissection. The yellow boundary identifies this area.

Prior to this step, image analysis pre-processing excludes artifact and benign epithelial tissue and segments regions of necrosis.

Lung Macrodissect AI tumor heatmap, zoomed in

Zoom image

Step 2: Tumor Density Heatmap (Higher Resolution)

A cancer cell density heatmap is displayed allowing identification of the optimal region for downstream macrodissection. The yellow boundary identifies this area.

The warmer the heatmap color, the higher the density of cancer cells.

Lung Macrodissect AI scoring markup

Zoom image

Step 3: Cancer Cell Classification

Each individual cell across the whole slide image is classified as cancer, other or necrotic.

Precise and standardized tumor content is reported across the whole sample and within the region selected for microdissection.

Cancer Cells: Blue
Other Cells: Orange

Lung Macrodissect AI quantitative slide results

Zoom image

Step 4: Lung Macrodissect AI results

Whole slide and dissection area tumor content are displayed in the slide tray and assay window.

Lung Macrodissect AI outputs the following results:

Whole Slide Image
- Total Cell Count
- Tumor Cell Count
- % Tumor Content
- % Necrosis Content
Dissection Area
- Total Cell Count
- Tumor Cell Count
- % Tumor Content
- % Necrosis Content

Lung Macrodissect in Aperio HALO AP Demonstration

Explore the future with the Lung Macrodissect AI app from Indica Labs. Lung Macrodissect AI seamlessly integrates within the Aperio HALO AP enterprise digital pathology platform to enhance the molecular workflow through automated tumor content reporting of NSCLC resections, excisions, and biopsies.

After selecting an image, view the H&E slide in the viewer and the Lung Macrodissect 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 tissue, with the tumor density heatmap highlighting the densest areas of tumor. With the assistance of the heatmap, users identify the dissection area by drawing a region of interest with immediate quantitative feedback on the number of all cells and tumor cells in the region to ensure proper sampling.