Researchers develop UV and machine learning-aided method to detect microbial contamination in cell cultures
This is the first novel technology that utilises machine learning to analyse unique ultraviolet light “fingerprints” on cell cultures to quickly identify the presence of contamination.
Registered users, subscribers or members - SIGN IN
To continue reading this article
Membership
Included as a benefit
Members of Applied Microbiology International have unlimited access to The Microbiologist as a benefit of membership. Just sign in with your usual membership credentials.
Find out more about how to join.
Register
FREE
Want to read more before deciding on a subscription? It only takes a minute to sign up for a free account and you’ll get to enjoy more free content each month.
Subscribe
3.75 per month / £35 annually
Get unlimited access to The Microbiologist.