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Updated: Jan 26, 2026

Two-photon axotomy and time-lapse confocal imaging in live zebrafish embryos
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Time-lapse videography for embryo selection/de-selection: a bright future or fading star?
Yanhe Liu1,2, Denny Sakkas3, Masoud Afnan1
1Reproductive Medicine Center, Tianjin United Family Hospital, Tianjin, China.
Time-lapse imaging in IVF offers new embryo selection tools, but current algorithms need refinement for broad clinical use. Further research is needed to address issues like data standardization and algorithm validation across different labs.
Area of Science:
- Reproductive Medicine and Embryology
- In Vitro Fertilization (IVF) Technology
Background:
- Time-lapse videography (TLV) is increasingly used in IVF laboratories for embryo assessment.
- While TLV provides uninterrupted embryo culture, its routine clinical application requires further evidence.
- The transferability of embryo selection algorithms between different laboratories presents a significant challenge.
Purpose of the Study:
- To critically evaluate current time-lapse embryo selection and de-selection algorithms.
- To discuss challenges hindering the widespread clinical adoption of TLV-based embryo selection.
- To propose future research directions for improving TLV algorithm development and validation.
Main Methods:
- Commentary and critical analysis of existing literature and practices in time-lapse embryo selection.
- Discussion of key issues including quantitative vs. qualitative parameters in algorithms.
- Examination of the impact of timing system reference points and dataset types on algorithm performance.
Main Results:
- Current evidence does not fully support the routine clinical application of all TLV-based embryo selection methods.
- Algorithm extrapolation between laboratories is a major hurdle due to variations in methodology and data.
- Several factors, including parameter definition and data standardization, require careful consideration.
Conclusions:
- Time-lapse imaging holds promise for IVF, but robust, validated algorithms are essential for clinical integration.
- Addressing issues of algorithm standardization and inter-laboratory validation is crucial for future advancements.
- Further research should focus on developing and validating algorithms that are reliable and transferable across diverse IVF settings.
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