Search Results - hatice+ceylan+koydemir

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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

2020-487 Early-Detection and Classification of Live Bacteria Using Time-Lapse Coherent Imaging and Deep Learning

Summary: Researchers from UCLA’s Electrical and Computer Engineering and Bioengineering Departments have invented a novel automated system that quickly detects and classifies colonies of live bacteria in water by using deep neural networks to analyze holographic images. Background: Early identification of pathogenic bacteria in food, water,...

Published: 11/15/2024 | Inventor(s): Aydogan Ozcan, Yair Rivenson, Hongda Wang, Hatice Ceylan Koydemir, Yunzhe Qiu

Keywords(s): Diagnostic Platform Technologies (E.G. Microfluidics), Hospital Systems And Devices, Imaging, Instrumentation & Analysis, Life Science Research Tools, Microscopy And Imaging

Category(s): Electrical > Instrumentation, Electrical > Imaging, Software & Algorithms, Diagnostic Markers, Software & Algorithms > Artificial Intelligence & Machine Learning

2020-123 EARLY DETECTION OF E.COLI AND TOTAL COLIFORM USING AN AUTOMATED, COLORIMETRIC AND FLUOROMETRIC FIBER OPTICS-BASED DEVICE

SUMMARY: UCLA researchers in the department of Electrical Engineering have developed a lightweight portable optical device that can rapidly detect fecal coliform in contaminated drinking water on site with minimal training and equipment. BACKGROUND: According to the World Health Organization (WHO), 785 million people lack safe drinking water, and...

Published: 11/15/2024 | Inventor(s): Aydogan Ozcan, Kevin De Haan, Hatice Ceylan Koydemir

Keywords(s):

Category(s): Life Science Research Tools > Microscopy And Imaging, Medical Devices > Monitoring And Recording Systems, Platforms > Diagnostic Platform Technologies, Optics & Photonics

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

Keywords(s):

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