Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > CLEO_AT > 2023 > AW4I > AW4I.1

Label-free bio-aerosol detection and classification using a virtual impactor, holography and deep learning

Yijie Zhang, Yi Luo, Tairan Liu, Alan Yu, Yichen Wu, and Aydogan Ozcan

Not Accessible

Your library or personal account may give you access

Abstract

We present a computational mobile imaging device that captures in-line holograms of bioaerosols flying through a virtual impactor. Using deep neural networks, this cost-effective system can perform long-term air quality monitoring, automatically identifying/counting various allergens.

© 2023 The Author(s)

PDF Article
More Like This
Label-free Bio-aerosol Sensing Using On-Chip Holographic Microscopy and Deep Learning

Yichen Wu, Ayfer Calis, Yi Luo, Cheng Chen, Maxwell Lutton, Yair Rivenson, Xing Lin, Hatice Ceylan Koydemir, Yibo Zhang, Hongda Wang, Zoltán Göröcs, and Aydogan Ozcan
AM2K.3 CLEO: Applications and Technology (CLEO:A&T) 2019

Label-Free Cancer Classification Using Hyperspectral Imaging Microscopy and Machine Learning

Shuyan Zhang, Shuwen Zeng, Wenjun Liao, Ryan Ron Zee Tan, and Malini Olivo
cl_p_4 The European Conference on Lasers and Electro-Optics (CLEO/Europe) 2023

Deep Learning Enables Virtual Histological Staining of Label-free Tissue Sections Using Auto-fluorescence

Yair Rivenson, Hongda Wang, Kevin de Haan, Zhensong Wei, and Aydogan Ozcan
ATu4K.6 CLEO: Applications and Technology (CLEO:A&T) 2019

View More...
Select as filters
Select Topics Cancel
Top
       
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.
Privacy | Terms of Use