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AI-Assisted Yeast Cell Segmentation for Biomedical Research

Accountable

National Research Council Canada (NRC)

Functional Modes

Sensing (Perceptive AI)

Human decides

Purpose

Research & Development

Input Dataset

About a measurement Anonymized data

Algorithm or Model

Computer Vision

Output Dataset

About a measurement Anonymized data

Details

YeastNet is a research tool developed by the National Research Council Canada in collaboration with the University of Ottawa that automatically identifies and tracks individual yeast cells in microscope images. It is designed to help scientists extract more data from high-throughput biology experiments. The system processes microscope images of yeast cells only — no personal information is involved. It is currently a prototype and has been published as a research output.