Quantitative phase imaging and machine learning for spermatozoa analysis
Authors:
- 1 January 2024
- conference paper
- Published by Optica Publishing Group
- p. JM4A.6
Abstract
Conventional methods of assessing sperm quality are based on qualitative analysis of semen. In this paper, we combined time-lapse quantitative phase imaging and deep learning for the classification of healthy and unhealthy sperm cells.Keywords
This publication has 4 references indexed in Scilit:
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