New imaging technique may help predict fertility of sperm in IVF
IMAGE: PHASE IMAGING WITH COMPUTATIONAL SPECIFICITY APPLIES ARTIFICIAL INTELLIGENCE TO LABEL-FREE SPATIAL LIGHT INTERFERENCE MICROSCOPY DATA TO MAP SUBCELLULAR COMPARTMENTS, AS ILLUSTRATED. view more
CREDIT: PHOTO COURTESY THE BECKMAN INSTITUTE FOR ADVANCED SCIENCE AND TECHNOLOGY
Researchers at the Beckman Institute for Advanced Science and Technology and the Department of Animal Sciences have collaborated to develop a new technique that can be used to determine the fertility of sperm samples. They hope to further develop the technique for assisted reproductive technology in humans.
The study "Reproductive outcomes predicted by phase imaging with computational specificity of spermatozoon ultrastructure" was published in the Proceedings of the National Academy of Sciences.
"This work is a part of a five-year project to develop dairy cattle that are resistant to heat and diseases in tropical areas. We want to donate these cows to developing countries to increase their food production," said Matthew B. Wheeler, a professor of animal sciences and of bioengineering at the University of Illinois at Urbana-Champaign.
In order to develop these traits in cattle, the researchers need to determine which sperm samples work best for in vitro fertilization.
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