Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Işıl, Çağatay"'
Autor:
Ma, Guangdong, Shen, Che-Yung, Li, Jingxi, Huang, Luzhe, Isil, Cagatay, Ardic, Fazil Onuralp, Yang, Xilin, Li, Yuhang, Wang, Yuntian, Rahman, Md Sadman Sakib, Ozcan, Aydogan
Publikováno v:
Advanced Photonics Nexus (2024)
Unidirectional imagers form images of input objects only in one direction, e.g., from field-of-view (FOV) A to FOV B, while blocking the image formation in the reverse direction, from FOV B to FOV A. Here, we report unidirectional imaging under spati
Externí odkaz:
http://arxiv.org/abs/2408.05449
Autor:
Isil, Cagatay, Koydemir, Hatice Ceylan, Eryilmaz, Merve, de Haan, Kevin, Pillar, Nir, Mentesoglu, Koray, Unal, Aras Firat, Rivenson, Yair, Chandrasekaran, Sukantha, Garner, Omai B., Ozcan, Aydogan
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, and environmental monitoring. Its manual procedures make it vulnerable t
Externí odkaz:
http://arxiv.org/abs/2407.12337
Publikováno v:
Light: Science & Applications (2024)
The integration of deep learning techniques with biophotonic setups has opened new horizons in bioimaging. A compelling trend in this field involves deliberately compromising certain measurement metrics to engineer better bioimaging tools in terms of
Externí odkaz:
http://arxiv.org/abs/2403.14324
Autor:
Hu, Jingtian, Liao, Kun, Dinc, Niyazi Ulas, Gigli, Carlo, Bai, Bijie, Gan, Tianyi, Li, Xurong, Chen, Hanlong, Yang, Xilin, Li, Yuhang, Isil, Cagatay, Rahman, Md Sadman Sakib, Li, Jingxi, Hu, Xiaoyong, Jarrahi, Mona, Psaltis, Demetri, Ozcan, Aydogan
Publikováno v:
eLight (2024)
Phase imaging is widely used in biomedical imaging, sensing, and material characterization, among other fields. However, direct imaging of phase objects with subwavelength resolution remains a challenge. Here, we demonstrate subwavelength imaging of
Externí odkaz:
http://arxiv.org/abs/2401.08923
Autor:
Isıl, Cagatay, Gan, Tianyi, Ardic, F. Onuralp, Mentesoglu, Koray, Digani, Jagrit, Karaca, Huseyin, Chen, Hanlong, Li, Jingxi, Mengu, Deniz, Jarrahi, Mona, Akşit, Kaan, Ozcan, Aydogan
Publikováno v:
Light: Science & Applications (2024)
Image denoising, one of the essential inverse problems, targets to remove noise/artifacts from input images. In general, digital image denoising algorithms, executed on computers, present latency due to several iterations implemented in, e.g., graphi
Externí odkaz:
http://arxiv.org/abs/2309.09215
Autor:
Rahman, Md Sadman Sakib, Gan, Tianyi, Deger, Emir Arda, Isil, Cagatay, Jarrahi, Mona, Ozcan, Aydogan
Publikováno v:
Nature Communications (2023)
Free-space optical systems are emerging for high data rate communication and transfer of information in indoor and outdoor settings. However, free-space optical communication becomes challenging when an occlusion blocks the light path. Here, we demon
Externí odkaz:
http://arxiv.org/abs/2304.10087
Publikováno v:
Advanced Photonics (2023)
Free-space optical information transfer through diffusive media is critical in many applications, such as biomedical devices and optical communication, but remains challenging due to random, unknown perturbations in the optical path. In this work, we
Externí odkaz:
http://arxiv.org/abs/2303.17164
Autor:
Isil, Cagatay, Mengu, Deniz, Zhao, Yifan, Tabassum, Anika, Li, Jingxi, Luo, Yi, Jarrahi, Mona, Ozcan, Aydogan
Publikováno v:
Science Advances (2022)
High-resolution synthesis/projection of images over a large field-of-view (FOV) is hindered by the restricted space-bandwidth-product (SBP) of wavefront modulators. We report a deep learning-enabled diffractive display design that is based on a joint
Externí odkaz:
http://arxiv.org/abs/2206.07281
Publikováno v:
\c{C}a\u{g}atay I\c{s}{\i}l, Figen S. Oktem, and Aykut Ko\c{c}, "Deep iterative reconstruction for phase retrieval," Appl. Opt. 58, 5422-5431 (2019)
Classical phase retrieval problem is the recovery of a constrained image from the magnitude of its Fourier transform. Although there are several well-known phase retrieval algorithms including the hybrid input-output (HIO) method, the reconstruction
Externí odkaz:
http://arxiv.org/abs/1904.11301
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