Why academics and firms are increasingly outsourcing work to remote, automated 'cloud labs'
As a chemistry PhD student, Dmytro Kolodieznyi was used to running experiments. But in early 2018, his research advisers asked him to take part in one run by robots instead.
It took just one week of hands-on time for Kolodieznyi to replicate several years of his PhD research — everything from organic synthesis of fluorescent tags to advanced microscopy. He says that he only scratched the surface of the company’s capabilities, which include cell culture, DNA synthesis, liquid chromatography and structural-analysis methods, such as mass spectrometry and nuclear magnetic resonance.
“I was turning experiments into code,” Frezza says. “At the end of the day, there’s no ambiguity in this text, I can push a button and reproduce it.” For Coppola and CSL Behring, cloud labs provide what is effectively a 24-hour service. Coppola sends his samples and reagents to ECL’s headquarters or purchases them from its existing inventory, programs his commands into a point-and-click user interface and waits for the results to roll in. He can watch his experiments on a webcam and get read-outs in real time.
“I cannot remember how many times I’ve read something in a paper, tried to do it and, not surprisingly, it didn’t work. But in a cloud lab, if I just copy and paste my experiment, it will work again,” Kolodieznyi says.
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