Ms. Esin Gumustekin Profile

Esin Gumustekin

at Univ of California Los Angeles

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Author

Publications (5)

Proceedings Article | 1 August 2021 Presentation

Early identification of live bacteria in water samples using time-lapse holographic imaging and deep learning

Hongda Wang, Hatice Koydemir, Yunzhe Qiu, Bijie Bai, Yibo Zhang, Yiyin Jin, Sabiha Tok, Enis Yilmaz, Esin Gumustekin, Yair Rivenson, Aydogan Ozcan

Proceedings Volume 11804, 118041T (2021) https://doi.org/10.1117/12.2593804

KEYWORDS: Bacteria, Holography, Statistical analysis, System identification, Sensing systems, Safety, Neural networks, Microbiology, Imaging systems, Image classification

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Proceedings Article | 5 March 2021 Presentation

Label-free analysis of micro-algae populations using a high-throughput holographic imaging flow cytometer and deep learning

Cagatay Isil, Kevin De Haan, Hatice Ceylan Koydemir, Zoltán Göröcs, David Baum, Fang Song, Thamira Skandakumar, Esin Gumustekin, Aydogan Ozcan

Proceedings Volume 11655, 116550B (2021) https://doi.org/10.1117/12.2579674

KEYWORDS: Holography, Statistical analysis, Holograms, 3D image reconstruction, Water, Photosynthesis, Particles, Organisms, Ocean optics, Microfluidics

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Proceedings Article | 5 March 2021 Presentation

Screening of sickle cell disease using a smartphone-based microscope and deep-learning

Kevin De Haan, Hatice Ceylan Koydemir, Yair Rivenson, Derek Tseng, Elizabeth Van Dyne, Lissette Bakic, Doruk Karinca, Kyle Liang, Megha Ilango, Esin Gumustekin, Aydogan Ozcan

Proceedings Volume 11632, 116320B (2021) https://doi.org/10.1117/12.2579425

KEYWORDS: Microscopes, Single crystal X-ray diffraction, Image segmentation, Blood, Neural networks, Image classification, Diagnostics

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Proceedings Article | 20 August 2020 Poster + Presentation

Sickle cell disease screening from thin blood smears using a smartphone-based microscope and deep learning

Kevin de Haan, Hatice Koydemir, Yair Rivenson, Derek Tseng, Elizabeth Van Dyne, Lissette Bakic, Doruk Karinca, Kyle Liang, Megha Ilango, Esin Gumustekin, Aydogan Ozcan

Proceedings Volume 11469, 114691M (2020) https://doi.org/10.1117/12.2567508

KEYWORDS: Blood, Microscopes, Single crystal X-ray diffraction, Image segmentation, Neural networks, Image quality, Image enhancement, Diagnostics, Image quality standards, Medical diagnostics

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Proceedings Article | 9 March 2020 Presentation

Deep learning enables high-throughput early detection and classification of bacterial colonies using time-lapse coherent imaging (Conference Presentation)

Hongda Wang, Hatice Koydemir, Yunzhe Qiu, Bijie Bai, Yibo Zhang, Yiyin Jin, Sabiha Tok, Enis Yilmaz, Esin Gumustekin, Yilin Luo, Yair Rivenson, Aydogan Ozcan

Proceedings Volume 11230, 112300E (2020) https://doi.org/10.1117/12.2547399

KEYWORDS: Coherence imaging, Bacteria, Classification systems, Pathogens, Drug discovery, Gold, Computing systems, System identification, 3D image reconstruction, Holograms

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