Ontology highlight
ABSTRACT:
SUBMITTER: McCallum C
PROVIDER: S-EPMC6610103 | biostudies-other | 2019
REPOSITORIES: biostudies-other
Communications biology 20190703
Despite the importance of sperm DNA to human reproduction, currently no method exists to assess individual sperm DNA quality prior to clinical selection. Traditionally, skilled clinicians select sperm based on a variety of morphological and motility criteria, but without direct knowledge of their DNA cargo. Here, we show how a deep convolutional neural network can be trained on a collection of ~1000 sperm cells of known DNA quality, to predict DNA quality from brightfield images alone. Our resul ...[more]