Oocyte classification with fluorochrome Hoechst 33342
4:56
Neural network-based oocyte classification
6:12
Results
9:38
Conclusion
Transcrição
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
Faça login ou inicie seu teste gratuito para acessar este conteúdo
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.