With this new technology, we believe we can quantify and identify bacteria in liquid medium in several seconds without any or with only minimal.
We have been developing
a new laser sensor technology
together with KAIST
Bacterial infections are affecting everyone every year in food, hospitals and homes.
● 600 million people in the U.S. are infected with food poisoning every year.
● 1 out of 5 infants under 5 years of age died of waterborne diseases annually.
● Recently, there was a case of newborn death at Ewha Womans University Mokdong Hospital in Korea. Between 2005 and 2009, there were more than 56,000 reports of side effects associated with drug injections, with the associated death toll at 710 people, according to the U.S. FDA. Also, the number of recalls in the same period was 87 cases.
● Also, it is predicted that deaths from super bacterial infections due to overuse of antibiotics will increase (UN, 2015).
STEP 1. Chaotic Scattering Material and Structure
Provides a cost-effective, fast (seconds) sensitive (low-concentration) method for testing nano-particles and micro-particles (including bacteria) in bulk-test samples.
STEP 2. Time Reversal Mirror
Together with KAIST we are applying Time Reversal Mirror to be our sensor to be able to detect nano-sized particles
STEP 3. Deep learning
Through Deep Learning, bacteria can be classified, reducing the rate of resistance, and providing accurate and rapid prescribing.
Medical / IVD
AST (Antibiotics Susceptibility Test)
Diagnostic for Bacterial Infection
Industrial/In-line IoT System