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Search Results - air+quality+measurement
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Bio-Aerosol Detection Using Mobile Microscopy and Machine Learning (Case No. 2019-722)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed an air analysis instrument and accompanying virtual aerosol detection method that combines imaging and deep learning to sense and classify airborne particles without external labeling or post processing steps. Background: Air quality management, particularly...
Published: 11/7/2023
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Inventor(s):
Aydogan Ozcan
Keywords(s):
aerosol
,
Agricultural & plant biology research
,
air quality measurement
,
bioaerosol
,
Bioterrorism detection
,
Deep Learning
,
Deep learning-based sensing
,
Digital Holography
,
Holography
,
Indoor air quality monitoring
,
Industrial applications: food processing, fermentation
,
label-free sensing
,
pollen detection
,
real-time sensing/monitoring/tracking
,
smart sensing
Category(s):
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Life Science Research Tools > Microscopy And Imaging
,
Chemical > Chemical Sensors
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: 8/7/2024
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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
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Electrical > Imaging
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Life Science Research Tools
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Life Science Research Tools > Mass Spectrometry