A revolution in predicting oocyte developmental potential

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THE CHALLENGE

Currently, there are no standardized guidelines for selecting oocytes likely to develop into viable blastocysts for transfer or vitrification.

THE RESEARCH

Research Collaboration between Stanford University and Taiwan IVF Group has demonstrated that viscoelastic properties of oocytes can predict human blastocyst formation with over 90% precision, 95% specificity, and 75% sensitivity.

THE SOLUTION

OPAL provides a comprehensive workflow to extract viscoelastic attributes and build predictive models based on these metrics. This predicts the developmental potential of mature oocytes, classifying individual oocytes into one of three distinct grades: A, B, or C. OPAL outperforms predictions based on morphology or maternal factors in predicting usable blastocyst formation.

Use case 1: EGG FREEZING

Opal provides better insights for reproductive planning and can guide decision on additional banking.

In the oocyte donation process, higher-graded oocytes can be grouped for better results, leading to more viable embryos.

Use case 2: IVF / ICSI

Opal assists in several aspects of IVF procedures:

  • Selection of eggs for insemination is particularly valuable in countries where the number of fertilizations are regulated by the government, as well as for patients with high oocyte yields but low pregnancy rates (such as those with PCOS)
  • Prediction of usable blastocyst formation is useful for labs that only culture embryos up to Day 3, providing guidance on which early-stage embryos to transfer, freeze, or further culture
  • Prediction of clinical pregnancy rate is made easier when the quality of eggs is known, as better quality eggs result in higher implantation rates.

Learn More About OPAL™

Read our white paper for a more comprehensive understanding of the technology that enables OPAL’s success, or contact us to schedule a product seminar.

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Research

Meyer D, Kort J, Chen CH, Zhao H, Yi X, Lai SY, Lu F, Yang WJ, Hsieh IC, Chiang CL, Chen WM, Huang JYJ, Camarillo D, Behr B. Development and evaluation of a usable blastocyst predictive model using the biomechanical properties of human oocytes. PLoS One. 2024 May 2;19(5):e0299602. doi: 10.1371/journal.pone.0299602. PMID: 38696439; PMCID: PMC11065297.