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Mitotic Cell Counting Algorithm Screenshot

Mitotic Cell Counting

AI-Powered Detection of Mitotic Figures in H&E Slides

A deep-learning algorithm designed to support consistent, efficient identification of mitotic figures across whole-slide images.

What It Does

Gestalt Mitotic Figure Detection supports pathologists by identifying and highlighting mitotic figures across routine H&E whole-slide images from various carcinomas, sarcomas, and cutaneous tumors.

The algorithm analyzes the entire slide at high resolution and automatically calculates the 10 HPF region with the highest mitotic figure activity. This surfaces the most diagnostically relevant candidates to assist with rapid review, improved consistency, and reduced manual workload during routine assessment.

How It Works

  • Analyzes routine H&E-stained whole-slide images

  • Scans the entire slide at high resolution

  • Identifies the 10 HPF area with peak mitotic density

  • Detects and highlights candidate mitotic figures

  • Presents results directly within the digital workflow for pathologist review

Mitotic Cell Counting Algorithm Screenshot
The 10HPF region (yellow) with all the MF (green) in those regions at a glance.

Why It Matters

  • Supports efficient identification of mitotic figures

  • Improves review consistency across cases

  • Reduces manual scanning time in high-volume workflows

  • Enables focused review in regions of highest mitotic activity

* For research use only (RUO)

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