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2.Device-integrated general algorithms
Automated prediction of embryo development alongside individualized and undisturbed incubation1-3
• For the first time, The EevaTM System clinically proven assessment algorithm can be applied alongside individualized and undisturbed culture conditions in a benchtop incubator to support outcome prediction.
• The EevaTM System results can be viewed directly from Geri® Connect.
• The integration of The EevaTM System and the Geri+ helps to leverage the data generated thus supporting more informed decision making within the ART lab and, potentially, the achievement of improved ART outcomes.3-7
1. QFRM422 Geri User Manual
2. Swain, Jason E., et al. "Optimizing the culture environment and embryo manipulation to help maintain embryo developmental potential." Fertility and sterility 105.3 (2016): 571-587.
3. Behr, B., et al. "Non-invasive technology combining time-lapse imaging and statistical modeling: bringing automation into the lab to improve blastocyst selection." Fertility and Sterility 104.3 (2015): e152.
4. Adamson, G. David, et al. Improved implantation rates of day 3 embryo transfers with the use of an automated time-lapse–enabled test to aid in embryo selection. Fertility and sterility 105.2 (2016): 369-375.
5. Aparicio-Ruiz, Belén, et al. Automatic time-lapse instrument is superior to single-point morphology observation for selecting viable embryos: retrospective study in oocyte donation. Fertility and Sterility 106.6 (2016): 1379–1385.
6. Basile, N., et al. “Blastocyst formation rate can be predicted by an automatic system independently of the number of oocytes retrieved and the morphology of the embryos on day 3.” Fertility and Sterility 106.3 (2016): e356
7. VerMilyea, Matthew D., et al. “Computer-automated time-lapse analysis results correlate with embryo implantation and clinical pregnancy: a blinded, multi-centre study.” Reproductive biomedicine online 29.6 (2014): 729-736.
Published time lapse algorithms
At least 18 published time lapse algorithms.
Almost exclusively based on early embryo development (pre day 3)
Generally unsuccessful attempts to transfer between settings
Storr et al 2018 tested 7 algorithms on 245 embryos.
Generally poor agreement between the embryo(s) selected as “best” by the algorithms and the embryo that was chosen by the majority (>5) of embryologists.
Clinical validation recommended prior to clinical use.
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