no code implementations • 28 Nov 2024 • Cagatay Isil, Figen S. Oktem
In the phase retrieval problem, the aim is the recovery of an unknown image from intensity-only measurements such as Fourier intensity.
no code implementations • 10 Aug 2024 • Guangdong Ma, Che-Yung Shen, Jingxi Li, Luzhe Huang, Cagatay Isil, Fazil Onuralp Ardic, Xilin Yang, Yuhang Li, Yuntian Wang, Md Sadman Sakib Rahman, Aydogan Ozcan
Here, we report unidirectional imaging under spatially partially coherent light and demonstrate high-quality imaging only in the forward direction (A->B) with high power efficiency while distorting the image formation in the backward direction (B->A) along with low power efficiency.
no code implementations • 17 Jul 2024 • Cagatay Isil, Hatice Ceylan Koydemir, Merve Eryilmaz, Kevin De Haan, Nir Pillar, Koray Mentesoglu, Aras Firat Unal, Yair Rivenson, Sukantha Chandrasekaran, Omai B. Garner, Aydogan Ozcan
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.
no code implementations • 21 Mar 2024 • Michael John Fanous, Paloma Casteleiro Costa, Cagatay Isil, Luzhe Huang, Aydogan Ozcan
The integration of deep learning techniques with biophotonic setups has opened new horizons in bioimaging.
no code implementations • 17 Jan 2024 • Jingtian Hu, Kun Liao, Niyazi Ulas Dinc, Carlo Gigli, Bijie Bai, Tianyi Gan, Xurong Li, Hanlong Chen, Xilin Yang, Yuhang Li, Cagatay Isil, Md Sadman Sakib Rahman, Jingxi Li, Xiaoyong Hu, Mona Jarrahi, Demetri Psaltis, Aydogan Ozcan
To resolve subwavelength features of an object, the diffractive imager uses a thin, high-index solid-immersion layer to transmit high-frequency information of the object to a spatially-optimized diffractive encoder, which converts/encodes high-frequency information of the input into low-frequency spatial modes for transmission through air.
no code implementations • 17 Sep 2023 • Cagatay Isil, Tianyi Gan, F. Onuralp Ardic, Koray Mentesoglu, Jagrit Digani, Huseyin Karaca, Hanlong Chen, Jingxi Li, Deniz Mengu, Mona Jarrahi, Kaan Akşit, Aydogan Ozcan
Our results show that these diffractive denoisers can efficiently remove salt and pepper noise and image rendering-related spatial artifacts from input phase or intensity images while achieving an output power efficiency of ~30-40%.
no code implementations • 20 Apr 2023 • Md Sadman Sakib Rahman, Tianyi Gan, Emir Arda Deger, Cagatay Isil, Mona Jarrahi, Aydogan Ozcan
In this scheme, an electronic neural network encoder and a diffractive optical network decoder are jointly trained using deep learning to transfer the optical information or message of interest around the opaque occlusion of an arbitrary shape.
no code implementations • 15 Jun 2022 • Cagatay Isil, Deniz Mengu, Yifan Zhao, Anika Tabassum, Jingxi Li, Yi Luo, Mona Jarrahi, Aydogan Ozcan
We report a deep learning-enabled diffractive display design that is based on a jointly-trained pair of an electronic encoder and a diffractive optical decoder to synthesize/project super-resolved images using low-resolution wavefront modulators.