Primary_image_ER
ER IHC digital slide of invasive breast carcinoma (left) with the DiaKwant™ ER AI heatmap (right) showing where ER positive tumor nuclei sit, from low (blue) to high (red).

DiaKwant™ ER Breast

ER, nucleus by nucleus, on the entire tumor. Zero click, zero annotation, zero manual counting: when you open the slide in Aperio HALO AP Software, DiaKwant™ AI has already framed the invasive breast carcinoma, excluded infiltrating lymphocytes from analysis, classified each tumor nucleus and computed the ER score, defined as the percentage of ER positive tumor nuclei over the invasive area. A heatmap shows where ER positive nuclei sit, so the score stays traceable to the tissue. You stay in control. The AI handles the count.

Contact us

For Research Use Only. Not for Use in Diagnostic Procedures.

Diadeep logo
Feature 1_ER
Feature 2_ER
Feature 03_ER
Feature 1_ER
Feature 1_ER
Zoom Zoom image

Region detection and counting are performed automatically

DiaKwant™ AI selects the invasive tumor on the entire slide with no region to draw. In situ components and control regions are excluded from analysis.

ER heatmap on the invasive tumor framed automatically, from low (blue) to high (red).

Feature 2_ER
Feature 2_ER
Zoom Zoom image

Quantify ER

Each tumor nucleus is classified as ER positive or negative, infiltrating lymphocytes are excluded from analysis, and DiaKwant™ AI returns the ER score: the percentage of ER positive tumor nuclei in the invasive area. The AI handles the count you would do manually, on the entire slide.

DiaKwant™ ER results panel: ER local score markup and ER score.

Feature 03_ER
Feature 03_ER
Zoom Zoom image

See where ER is expressed

A heatmap of ER positive tumor nuclei across the invasive tumor. Switch it on and off to see the tissue underneath.

DiaKwant™ ER in Aperio HALO AP Software: ER heatmap across the invasive tumor with the results panel.

DiaKwant ER Demonstration in Aperio HALO AP Image Management System

DiaKwant ER is a DiaDeep algorithm integrated within the Aperio HALO AP digital pathology platform to deliver accurate estrogen receptor (ER) quantification. It automatically analyzes the whole slide to classify tumor cells as ER-positive or ER-negative, with no manual annotation or selection of invasive regions required from the pathologist.

After selecting an ER slide, the pathologist can review the tissue in detail. A heatmap overlay highlights the distribution of ER-positive cells across the invasive tumor. The heatmap can be switched on or off at any time, allowing the pathologist to compare the algorithm's output with the underlying tissue morphology.

At the end of the analysis, the pathologist obtains:

  • The ER score, expressed as the percentage of ER-positive tumor cells.
  • A heatmap of ER-positive cell distribution across the invasive tumor.

DiaKwant also offers automated quantification for PD-L1, HER2, Ki-67, PR, and mitosis.

Specifications

Algorithm DiaKwant ER Breast
Supported image formats SVS, DICOM
Deployment cloud (Software as a Service) or on-premise
Outputs

Scores:

  • ER score: percentage of ER positive tumor nuclei over the whole invasive area
  • Heatmap of ER positive tumor nuclei

 
Regulatory status Research Use Only (RUO)