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2019-002 Motility-Based Label-Free Detection of Parasites in Bodily Fluids Using Holographic Speckle Analysis and Deep Learning

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed deep learning-based, cost-effective, and portable optical devices that facilitate label-free, high-throughput and sensitive detection of motile parasites. Background: Parasitic infections are a major global public health issue, but current screening...

Published: 10/25/2023 | Inventor(s): Aydogan Ozcan, Yibo Zhang, Hatice Ceylan Koydemir

Keywords(s): Algorithm, Artificial Intelligence, Diagnostic Markers & Platforms, Diagnostic Platform Technologies (E.G. Microfluidics), Diagnostic Test, Disease, Holography, Imaging, Infection, Infectious Diseases, Infectivity, Monitoring (Medicine), Optics, Software & Algorithms

Category(s): Software & Algorithms, Software & Algorithms > Image Processing, Life Science Research Tools, Diagnostic Markers, Medical Devices, Medical Devices > Medical Imaging, Medical Devices > Monitoring And Recording Systems, Platforms > Diagnostic Platform Technologies, Therapeutics > Infectious Diseases