Classification of human spermatozoa using quantitative phase imaging and machine learning
Autor: | P. Senthilkumaran, Daria Popova, Purusotam Banet, Ankit Butola, Dalip Singh Mehta, Balpreet Singh Ahluwalia, Vishesh Dubey, Ganesh Acharya, Azeem Ahmad |
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Rok vydání: | 2019 |
Předmět: | |
Zdroj: | Digital Holography and Three-Dimensional Imaging 2019. |
Popis: | 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. |
Databáze: | OpenAIRE |
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