"Our goal in integrating Global Good's advanced software into Motic's high-quality, affordable digital slide scanner is to simplify and standardize malaria detection. Success with the most difficult-to-identify disease paves the way for the EasyScan product line to excel at almost any microscopy task and to detect other major diseases that affect developed and emerging markets alike."
"Microscopy still remains a gold standard for Tuberculosis and Malaria detection. With development of AI, automatic diagnosis system could be a practical and useful solution. Motic has been concentrating in AI technology for years to free laboratory workers and treating physicians from burdensome subjective manual Microscopy observation."
"Microscopy is gold standard for laboratory confirmation of malaria. However, it is labour-intensive and time-consuming, required a lot of training and refresh training. Therefore, it is becoming a big challenge to maintain the skill of microscopists in the setting of malaria elimination, such as in China. Hopefully, artificial intelligence system, which using machine deep learning technology, could be a helpful assistant for malaria diagnosis. As an intelligent system, I wish EasyScan GO will be an powerful tool for surveillance with its capacity of automatically parasite identification and species classification."
"Malaria is one of the hardest diseases to identify on a microscope slide. By putting machine learning-enabled microscopes in the hands of laboratory technicians, we can overcome two major barriers to combating the mutating parasite-improving diagnosis in case management and standardizing detection across geographies and time."
"Microscopic detection, specification and counting of Malaria causing organisms in human red blood cells needs skilled personnel, is subjective and time consuming. EasyScan Go instead allows a rapid automated identification, specification and quantification of different types of plasmodiae in red blood cells. Machine detection and classification of different types of microorganisms can be controlled on an image gallery and corrected. Conventionally stained slides can be subjectively reassessed, if necessary. Thus, a reliable, objective early diagnosis of different types of Malaria can be achieved even in the absence of specialists within a few minutes. Similar to automated screening smears for cervical cancer cells the device thus further improves the availability and quality of microscopical diagnostics."
"This collaboration, combining Global Good's impact invention focus with Motic's engineering, manufacturing and distribution capabilities, represents the type of innovative healthcare solution that is needed to improve health in emerging and low-income markets. By distributing and commercializing an intelligent microscope, Global Good and Motic are creating a future where quality diagnosis of multiple diseases is within reach for everyone everywhere."