Fusion Organ Donation Suite

An AI-assisted, digital assessment solution designed to reduce the time required to produce accurate kidney biopsy reports for organ transplant viability.

Surgeon wearing mask performing organ transplant in operating room

Overview

The Techcyte Fusion kidney algorithm helps pathologists digitally assess the viability of kidneys for transplantation.

Using AI and a specialized digital workflow, we help pathologists find and count key structures in the kidney. Kidney biopsy samples are prepared as a frozen section, digitally scanned in using the Grundium Ocus scanner, analyzed by AI and then presented to the pathologist for confirmation. The final report, images of the kidney and the associated internal structures and sent to the surgeon to aid in the final assessment.

kidneymonitor copy

Challenge & Solution

Kidney biopsy pathology reviews are ultra time sensitive and if delayed, increase cold ischemic time and the risk of organ discard. Specialized transplantation renal pathologists may not always be available and manually identifying structures such as glomeruli can be time-consuming. The lack of standardization between pathologists can add variability and decrease trust in the assessment of the viability of the kidney.

Techcyte’s AI algorithm automates glomeruli, artery and arterioles identification, with the aim of reducing review time and minimizing subjectivity. It provides visual results, enabling surgeons to quickly and reliably confirm the pathologist’s assessment.

How It Works

4-step process:

Create slides

Biopsy samples are made into slides using the frozen section H&E process.

Scan slides

Slides are scanned using the Grundium Ocus 40 scanner. They are automatically uploaded to the Techcyte platform for AI analysis.

AI Analysis

The AI analyzes the images to locate and enumerate the areas of interest.

Record Results

Results are displayed in a web viewer where pathologists confirm and prepare a report. Finalized findings are shared with surgeons, who make the final decision on whether or not to accept the kidney.

Pre-classified areas of interest

The Techcyte AI-based algorithm presents pathologists with a viewer displaying a digital image and pre-classified areas of interest. In the platform, pathologists can then verify the numbers of normal and sclerosed glomeruli and identify the presence or absence of vascular abnormalities and other renal pathologies.

  • Normal glomeruli
  • Sclerosed glomeruli
  • Arteries
  • Arterioles

Supported Scanner

Grundium Ocus 40

Grundium Ocus 40

40x scanning, 20x 0.75 NA objective
As a trusted distributor of top whole slide scanners,
we can help you find the perfect fit for your lab’s unique needs.
Contact us to learn more and find your ideal scanner solution.

Features

  • icon IMS image viewer

    Fusion: The unified digital pathology platform

    Built on the state-of-the-art Fusion anatomic and clincial pathology AI platform, unique of its kind
  • icon annotation

    AI-powered

    AI-proposed images of normal and sclerosed glomeruli, arteries, and arterioles, grouped by clas, sorted by confidence
  • 1 Icon Database 03

    Glomeruli ratio

    The system automatically calculates the ratio of sclerosed glomeruli, allowing surgeons to quickly determine the viability of the kidney for a transplant
  • icon Lab Tech

    Customizable

    Customizable results panel, making it easy to mark additional findings using built-in annotation tools
  • 1 Icon Database 53

    Slide-sharing

    Easy slide-sharing with multiple recipients
  • 1 Icon Database 59

    Slide archiving

    Digital archiving & storage of slides

Benefits

Decoration Icon check Designed to reduce the pathologist’s biopsy assessment time
Decoration Icon check Surgeons can access digital pathology reports and whole slides images to reduce subjectivity and variability
Decoration Icon check Surgeons can visually confirm the quality of pathology review through annotated classes

Partners

logo CompuMed
For investigational use only and not for diagnostic use in the US.
For research use only in the U.S.