Abstract
The acrosome reaction (AR) is essential for successful fertilization, which is crucial for live sperm with fertilization potential in clinical practice. However, label-free assessment of the AR status of sperm is still challenging. In this study, a multimodal imaging system has been developed, integrating with fluorescence imaging, phase imaging, and bright-field imaging for observing the same sperm. The sperm phase characteristics were analyzed to assess the AR status. According to the phase in the acrosome and nucleus, the three-phase metrics (φacr¯[jls-end-space/], Δφ¯[jls-end-space/], Rφ¯[jls-end-space/]) are screened out to distinguish the AR status with comparison of fluorescence imaging, while Rφ¯ has the highest accuracy. Based on Rφ¯[jls-end-space/], the classification model quantified by ROC analysis provided a high performance with an AUC value of 0.907. After excluding sperm head with vacuoles, the classification accuracy of Rφ¯ has been further improved to 95.5%. The predicted AR status for live sperm is close to that reported data. These results demonstrate that label-free diffractive phase microscopy can quantitatively provide the detection method of AR status for live sperm, which is a promising technical approach for clinical applications.
| Original language | English |
|---|---|
| Pages (from-to) | 854-866 |
| Number of pages | 13 |
| Journal | Chemical and Biomedical Imaging |
| Volume | 4 |
| Issue number | 5 |
| DOIs | |
| State | Published - 25 May 2026 |
| Externally published | Yes |
Keywords
- ROC analysis
- acrosome reaction
- diffraction phase microscopy
- quantitative phase imaging
- sperm
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