Zobrazeno 1 - 10
of 117
pro vyhledávání: '"Zhu, Jiabei"'
Deep learning has transformed computational imaging, but traditional pixel-based representations limit their ability to capture continuous, multiscale details of objects. Here we introduce a novel Local Conditional Neural Fields (LCNF) framework, lev
Externí odkaz:
http://arxiv.org/abs/2307.06207
Autor:
Zhao, Jian, Jiang, Lulu, Matlock, Alex, Xu, Yihong, Zhu, Jiabei, Zhu, Hongbo, Tian, Lei, Wolozin, Benjamin, Cheng, Ji-Xin
Amyloid proteins are associated with a broad spectrum of neurodegenerative diseases. However, it remains a grand challenge to extract molecular structure information from intracellular amyloid proteins in their native cellular environment. To address
Externí odkaz:
http://arxiv.org/abs/2302.11769
Publikováno v:
Opt. Express 30, 32808-32821 (2022)
We propose a novel intensity diffraction tomography (IDT) reconstruction algorithm based on the split-step non-paraxial (SSNP) model for recovering the 3D refractive index (RI) distribution of multiple-scattering biological samples. High-quality IDT
Externí odkaz:
http://arxiv.org/abs/2207.06532
Autor:
Zhao, Jian, Matlock, Alex, Zhu, Hongbo, Song, Ziqi, Zhu, Jiabei, Wang, Biao, Chen, Fukai, Zhan, Yuewei, Chen, Zhicong, Xu, Yihong, Lin, Xingchen, Tian, Lei, Cheng, Ji-Xin
Recovering molecular information remains a grand challenge in the widely used holographic and computational imaging technologies. To address this challenge, we developed a computational mid-infrared photothermal microscope, termed Bond-selective Inte
Externí odkaz:
http://arxiv.org/abs/2203.13630
Intensity diffraction tomography (IDT) refers to a class of optical microscopy techniques for imaging the 3D refractive index (RI) distribution of a sample from a set of 2D intensity-only measurements. The reconstruction of artifact-free RI maps is a
Externí odkaz:
http://arxiv.org/abs/2112.00002
Publikováno v:
In Sustainable Cities and Society 1 November 2024 114
Publikováno v:
Optics Express 29(11), 17159-17172 (2021)
We develop a novel algorithm for large-scale holographic reconstruction of 3D particle fields. Our method is based on a multiple-scattering beam propagation method (BPM) combined with sparse regularization that enables recovering dense 3D particles o
Externí odkaz:
http://arxiv.org/abs/2103.05808
Autor:
Zhen, Ni, Zhu, Jiabei, Mao, Siwei, Zhang, Qi, Gu, Song, Ma, Ji, Zhang, Yue, Yin, Minzhi, Li, Haojie, Huang, Nan, Wu, Han, Sun, Fenyong, Ying, Binwu, Zhou, Lin, Pan, Qiuhui
Publikováno v:
In Cellular and Molecular Gastroenterology and Hepatology 2023 16(5):735-755
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.