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Classification of human spermatozoa using quantitative phase imaging and machine learning

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Abstract

Quantitative phase microscopy is used to determine phase map of human sperm cells and found that the maximum phase value decreases under oxidative stressed conditions. Machine learning is used to classify various parameters.

© 2019 The Author(s)

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