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

Zoltán Göröcs; Zoltán Göröcs; Zoltán Göröcs; David Baum; Fang Song; Kevin de Haan; Kevin de Haan; Kevin de Haan; Hatice Ceylan Koydemir; Hatice Ceylan Koydemir; Hatice Ceylan Koydemir; Yunzhe Qiu; Zilin Cai; Thamira Skandakumar; Spencer Peterman; Miu Tamamitsu; Aydogan Ozcan; Aydogan Ozcan; Aydogan Ozcan

doi:10.1364/DH.2021.DF4C.1

OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP)
OSA Technical Digest (Optica Publishing Group, 2021),
paper DF4C.1
•https://doi.org/10.1364/DH.2021.DF4C.1

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

Digital Holography and Three-Dimensional Imaging 2021

Washington, DC United States
19–23 July 2021
ISBN: 978-1-943580-89-7

From the session
Deep Learning, Neural Networks and Holographic Processing II (DF4C)

Not Accessible

Your library or personal account may give you access

Get PDF
Email
Share
Get Citation
Copy Citation Text
Z. Göröcs, D. Baum, F. Song, K. de Haan, H. C. Koydemir, Y. Qiu, Z. Cai, T. Skandakumar, S. Peterman, M. Tamamitsu, and A. Ozcan, "Deep Learning-enabled Holographic Imaging Flow-Cytometry for Label-Free Detection of Giardia Lamblia in Water Samples," in OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP), H. Hua, B. Javidi, M. Martinez-Corral, O. Matoba, A. Stern, S. Thibault, T. Alieva, J. Ke, F. Willomitzer, F. Okten, P. Silveira, P. Banerjee, E. Stoykova, D. Chu, J. Park, F. Imai, C. Joo, M. Digman, D. Gardner, S. Gladysz, D. LeMaster, S. Basu, and O. Korotkova, eds., OSA Technical Digest (Optica Publishing Group, 2021), paper DF4C.1.

Export Citation
- BibTex
- Endnote (RIS)
- HTML
- Plain Text
Get Video
Citation alert
Save article

Abstract

We present a field-portable and label-free holographic imaging flow-cytometer, which quantifies the amount of Giardia lamblia cysts in water samples with a detection limit of <10 cysts per 50 mL at a throughput of 100 mL/h.

PDF Article | Presentation Video

More Like This

Label-free imaging flow cytometry for phenotypic analysis of microalgae populations using deep learning

Çağatay Işıl, Kevin de Haan, Zoltán Gӧrӧcs, Hatice Ceylan Koydemir, Spencer Peterman, David Baum, Fang Song, Thamira Skandakumar, Esin Gumustekin, and Aydogan Ozcan
FM3D.4 Frontiers in Optics (FiO) 2021

Automated 3D detection of Giardia lamblia cysts as an assessment of potential drinking-water resources using DHM with partially coherent source

Ahmed El Mallahi, Christophe Minetti, Catherine Yourassowsky, Frank Dubois, Aurélie Detavernier, Jingxing Ma, and Michel Verbanck
BTuC3 Bio-Optics: Design and Application (BODA) 2011

Automated Detection and Enumeration of Waterborne Pathogens Using Mobile Phone Microscopy and Machine Learning

Hatice Ceylan Koydemir, Steve Feng, Kyle Liang, Rohan Nadkarni, Parul Benien, and Aydogan Ozcan
SM2C.3 CLEO: Science and Innovations (CLEO:S&I) 2017

Previous Article Next Article

Presentation Video

Presentation video access is available to:

Optica Publishing Group subscribers
Technical meeting attendees
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