Hatice Ceylan Koydemir
Hatice Ceylan Koydemir
Texas A&M University, Department of Biomedical Engineering
Verified email at - Homepage
Cited by
Cited by
Wearable and Implantable Sensors for Biomedical Applications
H Ceylan Koydemir, A Ozcan
Annual Review of Analytical Chemistry 11 (1), 127-146, 2018
Rapid imaging, detection and quantification of Giardia lamblia cysts using mobile-phone based fluorescent microscopy and machine learning
HC Koydemir, Z Gorocs, D Tseng, B Cortazar, S Feng, RYL Chan, ...
Lab on a Chip 15 (5), 1284-1293, 2015
Deep learning enhanced mobile-phone microscopy
Y Rivenson, H Ceylan Koydemir, H Wang, Z Wei, Z Ren, H Günaydın, ...
Acs Photonics 5 (6), 2354-2364, 2018
A deep learning-enabled portable imaging flow cytometer for cost-effective, high-throughput, and label-free analysis of natural water samples
Z Gӧrӧcs, M Tamamitsu, V Bianco, P Wolf, S Roy, K Shindo, K Yanny, ...
Light: Science & Applications 7 (1), 1-12, 2018
Early detection and classification of live bacteria using time-lapse coherent imaging and deep learning
H Wang, H Ceylan Koydemir, Y Qiu, B Bai, Y Zhang, Y Jin, S Tok, ...
Light: Science & Applications 9 (1), 1-17, 2020
Label-free bioaerosol sensing using mobile microscopy and deep learning
Y Wu, A Calis, Y Luo, C Chen, M Lutton, Y Rivenson, X Lin, HC Koydemir, ...
ACS Photonics 5 (11), 4617-4627, 2018
Motility-based label-free detection of parasites in bodily fluids using holographic speckle analysis and deep learning
Y Zhang, H Ceylan Koydemir, MM Shimogawa, S Yalcin, A Guziak, T Liu, ...
Light: Science & Applications 7 (1), 1-18, 2018
Evaluation of a mobile phone-based microscope for screening of Schistosoma haematobium infection in rural Ghana
II Bogoch, HC Koydemir, D Tseng, RKD Ephraim, E Duah, J Tee, ...
The American journal of tropical medicine and hygiene 96 (6), 1468, 2017
Automated screening of sickle cells using a smartphone-based microscope and deep learning
K de Haan, H Ceylan Koydemir, Y Rivenson, D Tseng, E Van Dyne, ...
NPJ digital medicine 3 (1), 1-9, 2020
Quantification of plant chlorophyll content using Google Glass
B Cortazar, HC Koydemir, D Tseng, S Feng, A Ozcan
Lab on a Chip 15 (7), 1708-1716, 2015
MEMS biosensors for detection of methicillin resistant Staphylococcus aureus
HC Koydemir, H Külah, C Özgen, A Alp, G Hasçelik
Biosensors and Bioelectronics 29 (1), 1-12, 2011
Identification of pathogenic bacteria in complex samples using a smartphone based fluorescence microscope
V Müller, JM Sousa, HC Koydemir, M Veli, D Tseng, L Cerqueira, A Ozcan, ...
RSC advances 8 (64), 36493-36502, 2018
Rapid imaging, detection, and quantification of Nosema ceranae spores in honey bees using mobile phone-based fluorescence microscopy
JW Snow, HC Koydemir, DK Karinca, K Liang, D Tseng, A Ozcan
Lab on a Chip 19 (5), 789-797, 2019
Sensing of electrolytes in urine using a miniaturized paper-based device
F Ghaderinezhad, H Ceylan Koydemir, D Tseng, D Karinca, K Liang, ...
Scientific reports 10 (1), 1-9, 2020
Smartphone-imaged microfluidic biochip for measuring CD64 expression from whole blood
T Ghonge, HC Koydemir, E Valera, J Berger, C Garcia, N Nawar, J Tiao, ...
Analyst 144 (13), 3925-3935, 2019
Solvent compatibility of parylene c film Layer
HC Koydemir, H Külah, C Özgen
Journal of microelectromechanical systems 23 (2), 298-307, 2013
Method and device for quantification of plant chlorophyll content
SF A. Ozcan, B. Cortazar, H. Ceylan Koydemir, D. Tseng
US Patent US 2018/0003686 A1, 2018
Computational cytometer based on magnetically modulated coherent imaging and deep learning
Y Zhang, M Ouyang, A Ray, T Liu, J Kong, B Bai, D Kim, A Guziak, Y Luo, ...
Light: Science & Applications 8 (1), 1-15, 2019
Mobile phones create new opportunities for microbiology research and clinical applications
HC Koydemir, A Ozcan
Future Microbiology 12 (8), 641-644, 2017
Thin films and biosensors
H. Ceylan Koydemir, H. Külah, C. Özgen
Thin Films and Coatings in Biology, 265-300, 2013
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