The evaluation of the morphological and physical traits of the donor sperm used in the fertilization of an embryo in the IVF process is also a prominent part in avoiding miscarriages and failures to conceive. LetoHealth utilizes binary image classification through a convolutional neural network to assess images of sperm samples and classify them into 2 classes based on poor or good quality sperm samples.