Image-Based Sensor to Diagnose Malaria in Developing World
Sirish Shah, an engineering professor at the University of Alberta, describes how his team developed software sensors that have found use in industries ranging from polymers to oil sands. A sensor based on image-processing ideas significantly reduces bitumen losses in oil sands tailings ponds. Shah's team then found the same image-based sensor technology was able to identify malaria in blood cells. They are in the process of developing purpose-built image-processing techniques for reliable detection and diagnosis of many preventable infectious diseases, especially in the developing world.
Transcript
00:00:03 sometimes an engineering solution for industry turns into technology that benefits all of humanity I'm sir sha and I'm a researcher in chemical and materials engineering at the University of Alberta in this lab we solved a problem for oil sense producers sunor energy valuable heavy oil was being lost in their production process the key to
00:00:32 catching all the bitumin is to Monitor and measure the interface between the lighter oil and the water with a simple digital camera and a sophisticated algorithm we found a way to significantly reduce these losses now we've discovered that this technology has another use we could save lives the image processing technology that we've developed is being applied to
00:01:01 solve a humanitarian problem that plagues half the world population the problem is malaria almost 3/4 of a million people die from malaria each year malaria parasites show up in blood samples but current diagnosis techniques are slow and prone to error our image processing algorithm can replace the manual procedure the algorithm has has
00:01:30 been able to detect and count the number of parasite instantly and accurately and it's been tested on hundreds of cases I have had malaria myself I come from Africa and I know how big the problem is each minute a child in Africa dies of malaria many of those lives could have been safe who would have thought technology
00:01:58 for the oil sense can be translated to help [Music] Humanity