Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Deep Learning-enabled Coherent Imaging Achieves Early Detection and Classification of Bacteria in Water Samples

Not Accessible

Your library or personal account may give you access

Abstract

Using deep learning and lensfree holographic imaging, we report early detection and classification of bacterial colonies in water samples. Our system detects 1 colony-forming unit (CFU) per Liter within 9 h of total test time.

© 2021 The Author(s)

PDF Article  |   Presentation Video
More Like This
Early detection and classification of bacterial colonies using a Thin-Film-Transistor (TFT)-based image sensor and deep learning

Yuzhu Li, Tairan Liu, Hatice Ceylan Koydemir, Hongda Wang, Keelan O’Riordan, Bijie Bai, Yuta Haga, Junji Kobashi, Hitoshi Tanaka, Takaya Tamaru, Kazunori Yamaguchi, and Aydogan Ozcan
FW6E.2 Frontiers in Optics (FiO) 2022

Deep Learning-enabled Holographic Imaging Flow-Cytometry for Label-Free Detection of Giardia Lamblia in Water Samples

Zoltán Göröcs, David Baum, Fang Song, Kevin de Haan, Hatice Ceylan Koydemir, Yunzhe Qiu, Zilin Cai, Thamira Skandakumar, Spencer Peterman, Miu Tamamitsu, and Aydogan Ozcan
DF4C.1 Digital Holography and Three-Dimensional Imaging (DH) 2021

Deep-Learning-Enabled Polarization-Sensitive Optical Coherence Tomography (OCT)

Yi Sun, Jianfeng Wang, Jindou Shi, and Stephen A Boppart
OF2E.3 Optical Molecular Probes, Imaging and Drug Delivery (OMP) 2021

Presentation Video

Presentation video access is available to:

  1. Optica Publishing Group subscribers
  2. Technical meeting attendees
  3. Optica members who wish to use one of their free downloads. Please download the article first. After downloading, please refresh this page.

Contact your librarian or system administrator
or
Log in to access Optica Member Subscription or free downloads


More Like This
Early detection and classification of bacterial colonies using a Thin-Film-Transistor (TFT)-based image sensor and deep learning

Yuzhu Li, Tairan Liu, Hatice Ceylan Koydemir, Hongda Wang, Keelan O’Riordan, Bijie Bai, Yuta Haga, Junji Kobashi, Hitoshi Tanaka, Takaya Tamaru, Kazunori Yamaguchi, and Aydogan Ozcan
FW6E.2 Frontiers in Optics (FiO) 2022

Deep Learning-enabled Holographic Imaging Flow-Cytometry for Label-Free Detection of Giardia Lamblia in Water Samples

Zoltán Göröcs, David Baum, Fang Song, Kevin de Haan, Hatice Ceylan Koydemir, Yunzhe Qiu, Zilin Cai, Thamira Skandakumar, Spencer Peterman, Miu Tamamitsu, and Aydogan Ozcan
DF4C.1 Digital Holography and Three-Dimensional Imaging (DH) 2021

Deep-Learning-Enabled Polarization-Sensitive Optical Coherence Tomography (OCT)

Yi Sun, Jianfeng Wang, Jindou Shi, and Stephen A Boppart
OF2E.3 Optical Molecular Probes, Imaging and Drug Delivery (OMP) 2021

3D OCT characterization and quantification of refractive indices of bacteria and biofilms with antibiotic interventions

Farzana R. Zaki, Kavya Sudhir, Jungeun Won, Guillermo L. Monroy, Honggu Choi, Eric J. Chaney, Darold R. Spillman, and Stephen A. Boppart
OTu3D.5 Optical Molecular Probes, Imaging and Drug Delivery (OMP) 2021

Automated microorganisms activity detection on the early growth stage using artificial neural networks

Dmitrijs Bliznuks, Alexey Lihachev, Janis Liepins, Dilshat Uteshev, Yuriy Chizhov, Andrey Bondarenko, and Katrina Bolochko
11075_60 European Conference on Biomedical Optics (ECBO) 2019

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.