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2022-258 Deep Learning-Enabled Detection and Classification of Bacterial Colonies Using a Thin Film Transistor (TFT) Image Sensor

Summary: UCLA Researchers in the Department of Electrical and Computer Engineering have developed a thin-film transistor-based image sensor that can quantify and identify bacterial colony forming units (CFUs) with high accuracy using a deep-learning algorithm. Background: Bacterial infections are a leading cause of death every year in both developed...

Published: 7/19/2023 | Inventor(s): Aydogan Ozcan, Yuzhu Li, Tairan Liu

Keywords(s): Antibacterial, Artificial Neural Network, Bacteria, Holography, Machine Learning, Magnetic Resonance Imaging Carotid Artery Stenosis, Thin-Film Transistor, Transistor

Category(s): Software & Algorithms, Life Science Research Tools, Life Science Research Tools > Screening Libraries, Materials, Materials > Nanotechnology, Materials > Semiconducting Materials, Life Science Research Tools > Cell Counting And Imaging