AUTOMATED TAXONOMY
Freeing scientists to do what they do best
Many scientists would prefer to spend less time looking through a microscope and more time on research. Our AI technology frees up scientists by teaching computers to identify microscopic organisms or materials quickly and accurately.
The challenge
Taxonomy is the process of identifying organisms through a microscope. Usually performed by humans, it can be a tedious process for laboratories around the world.
Every day, scientists use microscopes to monitor water quality, identify bacteria, check for asbestos, and more. This work is invaluable, but many scientists would prefer to spend more time researching and less time looking through a lens at things they already know.
Our solution
In the same way that AI Facial recognition technology scans people’s faces in a crowd, we’re teaching computers to recognise the “faces” of microorganisms. NAI uses computer vision and deep learning to automate microorganism taxonomy.
From microalgae to bacteria, our AI taxonomy platform can be used to detect any microorganism a human might be able to identify through a microscope. But a computer doesn’t get tired, distracted, or bored and does the job faster and cheaper.
AI in action
Water quality monitoring is a perfect use case for our technology. Algal blooms are a problem for aquaculture providers worldwide because the algae in the blooms can be poisonous. The aquaculture industry relies on laboratories to provide up-to-date, accurate insight into micro-algal populations around their farms.
Our automated taxonomy technology streamlines water quality monitoring, identifying and counting toxic algae for a range of magnifications within minutes.
