Zobrazeno 1 - 10
of 282
pro vyhledávání: '"Mona Jarrahi"'
Publikováno v:
Light: Science & Applications, Vol 13, Iss 1, Pp 1-24 (2024)
Abstract Diffractive deep neural networks (D2NNs) are composed of successive transmissive layers optimized using supervised deep learning to all-optically implement various computational tasks between an input and output field-of-view. Here, we prese
Externí odkaz:
https://doaj.org/article/62c2471c0f264b8e984b110e4470e13c
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-21 (2024)
Abstract Optical phase conjugation (OPC) is a nonlinear technique used for counteracting wavefront distortions, with applications ranging from imaging to beam focusing. Here, we present a diffractive wavefront processor to approximate all-optical pha
Externí odkaz:
https://doaj.org/article/d65b9898a0384f6584aca1d5318def02
Publikováno v:
Light: Science & Applications, Vol 13, Iss 1, Pp 1-18 (2024)
Abstract Complex field imaging, which captures both the amplitude and phase information of input optical fields or objects, can offer rich structural insights into samples, such as their absorption and refractive index distributions. However, convent
Externí odkaz:
https://doaj.org/article/530c194ba80542828fb8e65c048d94d4
Autor:
Dehui Zhang, Dong Xu, Yuhang Li, Yi Luo, Jingtian Hu, Jingxuan Zhou, Yucheng Zhang, Boxuan Zhou, Peiqi Wang, Xurong Li, Bijie Bai, Huaying Ren, Laiyuan Wang, Ao Zhang, Mona Jarrahi, Yu Huang, Aydogan Ozcan, Xiangfeng Duan
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract Nonlinear optical processing of ambient natural light is highly desired for computational imaging and sensing. Strong optical nonlinear response under weak broadband incoherent light is essential for this purpose. By merging 2D transparent p
Externí odkaz:
https://doaj.org/article/f0ed8e86a1e242c1af3a1188329bb138
Autor:
Çağatay Işıl, Tianyi Gan, Fazil Onuralp Ardic, Koray Mentesoglu, Jagrit Digani, Huseyin Karaca, Hanlong Chen, Jingxi Li, Deniz Mengu, Mona Jarrahi, Kaan Akşit, Aydogan Ozcan
Publikováno v:
Light: Science & Applications, Vol 13, Iss 1, Pp 1-17 (2024)
Abstract 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
Externí odkaz:
https://doaj.org/article/0d7337e73b06497ab6b18c4fcee90b82
Autor:
Md Sadman Sakib Rahman, Tianyi Gan, Emir Arda Deger, Çağatay Işıl, Mona Jarrahi, Aydogan Ozcan
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-17 (2023)
Abstract Free-space optical communication becomes challenging when an occlusion blocks the light path. Here, we demonstrate a direct communication scheme, passing optical information around a fully opaque, arbitrarily shaped occlusion that partially
Externí odkaz:
https://doaj.org/article/272ee55432b54a5aa47c884c429cfc26
Autor:
Jingxi Li, Xurong Li, Nezih T. Yardimci, Jingtian Hu, Yuhang Li, Junjie Chen, Yi-Chun Hung, Mona Jarrahi, Aydogan Ozcan
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-14 (2023)
Abstract Terahertz waves offer advantages for nondestructive detection of hidden objects/defects in materials, as they can penetrate most optically-opaque materials. However, existing terahertz inspection systems face throughput and accuracy restrict
Externí odkaz:
https://doaj.org/article/0c3acdc1748145ad9f950c45296d3d18
Publikováno v:
Light: Science & Applications, Vol 12, Iss 1, Pp 1-21 (2023)
Abstract Many exciting terahertz imaging applications, such as non-destructive evaluation, biomedical diagnosis, and security screening, have been historically limited in practical usage due to the raster-scanning requirement of imaging systems, whic
Externí odkaz:
https://doaj.org/article/883bf27c96ca4a7183165b67839bc800
Publikováno v:
Light: Science & Applications, Vol 12, Iss 1, Pp 1-20 (2023)
Abstract Multispectral imaging has been used for numerous applications in e.g., environmental monitoring, aerospace, defense, and biomedicine. Here, we present a diffractive optical network-based multispectral imaging system trained using deep learni
Externí odkaz:
https://doaj.org/article/c446b413c55c43abbcda312c98022b2c
Publikováno v:
Light: Science & Applications, Vol 12, Iss 1, Pp 1-15 (2023)
Abstract Classification of an object behind a random and unknown scattering medium sets a challenging task for computational imaging and machine vision fields. Recent deep learning-based approaches demonstrated the classification of objects using dif
Externí odkaz:
https://doaj.org/article/cf5db6e83d3a421da407b58cbc49bd4a