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2020-416 Automated Screening of Sickle Cells Using a Smartphone-Based Microscope and Deep Learning

SUMMARYUCLA researchers in the Department of Electrical & Computer Engineering have developed an automated method for detecting sickle cell disease (SCD) using a smartphone-based microscope and deep learning.BACKGROUNDSickle cell disease (SCD) is a preventable disease that affects millions of people world-wide. Current screening methods involve...

Published: 11/15/2024 | Inventor(s): Aydogan Ozcan, Yair Rivenson, Kevin deHaan, Hatice Ceylan Koydemir

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Category(s): Software & Algorithms > Image Processing, Software & Algorithms > Digital Health, Life Science Research Tools > Microscopy And Imaging, Life Science Research Tools > Cell Counting And Imaging, Platforms > Diagnostic Platform Technologies, Therapeutics > Hematology