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Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence
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Chapters
- 00:05Introduction
- 00:49Creating an Experiment in the Artificial Intelligence (AI) Software
- 02:41Populating the Ground Truth Data Using A‐Assisted Tagging Tools and Training the Model
- 04:11Classifying Data Using the Model and Generating Report
- 06:28Results: Validation of the AI‐Assisted Cluster and Predict Algorithms
- 08:23Conclusion
The micronucleus (MN) assay is a well-established test for quantifying DNA damage. However, scoring the assay using conventional techniques such as manual microscopy or feature-based image analysis is laborious and challenging. This paper describes the methodology to develop an artificial intelligence model to score the MN assay using imaging flow cytometry data.
