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Automated Machine Learning Robot Unlocks New Potential For Genetics Research
University of Minnesota Twin Cities researchers have constructed a robot that uses machine learning to fully automate a complicated microinjection process used in genetic research. In their experiments, the researchers were able to use this automated robot to manipulate the genetics of multicellular organisms, including fruit fly and zebrafish embryos. The technology will save labs...
“This new process is more robust and reproducible than manual injections,” said Suhasa Kodandaramaiah, a University of Minnesota mechanical engineering associate professor and senior author of the study. Writing and reading DNA have drastically improved in recent years, but having this technology will increase our ability to perform large-scale genetic experiments in a wide range of organisms,” said Daryl Gohl, a co-author of the study, the group leader of the University of Minnesota Genomics Center’s Innovation Lab and research assistant professor in the Department of Genetics, Cell Biology, and Development. “We hope that this technology could eventually be used for in vitro fertilization, where you could detect those eggs on the microscale level,” said Andrew Alegria, co-lead author on the paper and University of Minnesota mechanical engineering graduate research assistant in the Biosensing and Biorobotics Lab.
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