209 citations · 506 across the 7 of their papers we have counts for
7 papers
Virtual Gram staining of label-free bacteria using darkfield microscopy and deep learning
Cagatay Isil, Hatice Ceylan Koydemir, Merve Eryilmaz +8
Gram staining has been one of the most frequently used staining protocols in microbiology for over a century, utilized across various fields, including diagnostics, food safety, an…
DUBLINE: A Deep Unfolding Network for B-line Detection in Lung Ultrasound Images
Tianqi Yang, Nantheera Anantrasirichai, Oktay Karakuş +3
In the context of lung ultrasound, the detection of B-lines, which are indicative of interstitial lung disease and pulmonary edema, plays a pivotal role in clinical diagnosis. Curr…
Rapid and stain-free quantification of viral plaque via lens-free holography and deep learning
Tairan Liu, Yuzhu Li, Hatice Ceylan Koydemir +8
We present a rapid and stain-free quantitative viral plaque assay using lensfree holographic imaging and deep learning. This cost-effective, compact, and automated device significa…
Deep Learning-enabled Detection and Classification of Bacterial Colonies using a Thin Film Transistor (TFT) Image Sensor
Yuzhu Li, Tairan Liu, Hatice Ceylan Koydemir +9
Early detection and identification of pathogenic bacteria such as Escherichia coli (E. coli) is an essential task for public health. The conventional culture-based methods for bact…
Label-free detection of Giardia lamblia cysts using a deep learning-enabled portable imaging flow cytometer
Zoltan Gorocs, David Baum, Fang Song +8
We report a field-portable and cost-effective imaging flow cytometer that uses deep learning to accurately detect Giardia lamblia cysts in water samples at a volumetric throughput…
Early-detection and classification of live bacteria using time-lapse coherent imaging and deep learning
Hongda Wang, Hatice Ceylan Koydemir, Yunzhe Qiu +8
We present a computational live bacteria detection system that periodically captures coherent microscopy images of bacterial growth inside a 60 mm diameter agar-plate and analyzes…
Deep learning enhanced mobile-phone microscopy
Yair Rivenson, Hatice Ceylan Koydemir, Hongda Wang +8
Mobile-phones have facilitated the creation of field-portable, cost-effective imaging and sensing technologies that approach laboratory-grade instrument performance. However, the o…