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JoVE Journal Bioengineering
Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence
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Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence

Article DOI: 10.3791/64549-v • 09:11 min • January 27th, 2023
January 27th, 2023 •
1, 1, 1, 1, 1, 1, 1, 1, 1, 1
1Amnis Flow Cytometry, Luminex Corporation

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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.

Tags

Micronucleus Assay Imaging Flow Cytometry Artificial Intelligence Automation Low Throughput Score Variability Visual Confirmation Large Scale Screening Toxicity Testing AI Model Convolutional Neural Network CNN Model Image Tagging Algorithms Mononucleated Binucleated Polynucleated Irregular Morphology
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