Oocyte classification with fluorochrome Hoechst 33342
4:56
Neural network-based oocyte classification
6:12
Results
9:38
Conclusion
Trascrizione
The overall goal of this procedure is the identification of occytes with a backside developmental capacity using a non-invasive tool. The main advantage of this method is that by simply observing the oocyte movements occurring during in vitro matu
Accedi o inizia la tua prova gratuita per vedere questo contenuto
Here, we present a protocol for non-invasive assessment of oocyte developmental competence performed during their in vitro maturation from the germinal vesicle to the metaphase II stage. This method combines time-lapse imaging with particle image velocimetry (PIV) and neural network analyses.