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Virtual Impactor-Based Label-Free Bio-Aerosol Detection Using Holography and Deep Learning (Case No. 2023-037)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a virtual aerosol detection method that combines imaging and deep learning to sense and classify bio-aerosols without any external labeling or post processing steps. Background: Bio-aerosol detection and classification is pivotal to understanding and...

Published: 2/27/2024 | Inventor(s): Aydogan Ozcan, Yi Luo, Tairan Liu

Keywords(s): air quality measurement, Artificial Neural Network, bioterrorism, computational imaging, Deep learning-based sensing, Digital Electronics, Digital Holography, Digital Signal Processing, Imaging, label-free imaging, label-free sensing, Mass Spec, pollen detection, Sensors, virtual impactors

Category(s): Electrical, Electrical > Sensors, Electrical > Imaging, Life Science Research Tools, Life Science Research Tools > Mass Spectrometry