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 • 22 May 2023 • Luzhe Huang, Jianing Li, Xiaofu Ding, Yijie Zhang, Hanlong Chen, Aydogan Ozcan
Uncertainty estimation is critical for numerous applications of deep neural networks and draws growing attention from researchers.
no code implementations • 9 Jan 2023 • Hanlong Chen, Luzhe Huang, Tairan Liu, Aydogan Ozcan
The application of deep learning techniques has greatly enhanced holographic imaging capabilities, leading to improved phase recovery and image reconstruction.
no code implementations • 17 Sep 2022 • Luzhe Huang, Hanlong Chen, Tairan Liu, Aydogan Ozcan
Here, we report a self-supervised learning model, termed GedankenNet, that eliminates the need for labeled or experimental training data, and demonstrate its effectiveness and superior generalization on hologram reconstruction tasks.
no code implementations • 22 Apr 2022 • Hanlong Chen, Luzhe Huang, Tairan Liu, Aydogan Ozcan
Deep learning-based image reconstruction methods have achieved remarkable success in phase recovery and holographic imaging.