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

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.

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Keywords: Micronucleus Assay Imaging Flow Cytometry Artificial Intelligence AI Model Convolutional Neural Network CNN Mononucleated Binucleated Polynucleated Irregular Morphology Non-apoptotic Population Bright Field DNA Tagging Tool Image Tagging
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