Machine Learning Based Mobile Microscope Might Help Detect Air Quality Better

Researchers from the University of California at Los Angeles have developed a new way to measure air quality. They have developed quite a unique mechanism to measure air quality for cheap -- a mobile microscope connected to a smartphone which will detect the air quality using a machine-learning algorithm. It uses an air sampler along with a holographic microscope of the size of a microchip. The aim of the invention is to provide users the ability to accurately assess dangerous airborne particulate matter and avoid health hazards, which kill 7 million people prematurely annually according to the World Health Organization. Accurate analysis of air quality is very important for improving this air quality and the researchers claim this device might be capable of such analysis.