Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Nashed, Youssef S. G."'
Autor:
Kandel, Saugat, Maddali, Siddharth, Allain, Marc, Huang, Xiaojing, Nashed, Youssef S. G., Jacobsen, Chris, Hruszkewycz, Stephan
We describe a phase-retrieval-based imaging method to directly spatially resolve the vector lattice distortions in an extended crystalline sample by explicit coupling of independent Bragg ptychography data sets into the reconstruction process. Our me
Externí odkaz:
http://arxiv.org/abs/2312.14907
Autor:
Nashed, Youssef S. G., Poitevin, Frederic, Gupta, Harshit, Woollard, Geoffrey, Kagan, Michael, Yoon, Chuck, Ratner, Daniel
Cryogenic electron microscopy (cryo-EM) provides images from different copies of the same biomolecule in arbitrary orientations. Here, we present an end-to-end unsupervised approach that learns individual particle orientations from cryo-EM data while
Externí odkaz:
http://arxiv.org/abs/2107.02958
Autor:
Kandel, Saugat, Maddali, S., Nashed, Youssef S G, Hruszkewycz, Stephan O, Jacobsen, Chris, Allain, Marc
The phase retrieval problem, where one aims to recover a complex-valued image from far-field intensity measurements, is a classic problem encountered in a range of imaging applications. Modern phase retrieval approaches usually rely on gradient desce
Externí odkaz:
http://arxiv.org/abs/2103.01767
Autor:
Chan, Henry, Nashed, Youssef S. G., Kandel, Saugat, Hruszkewycz, Stephan, Sankaranarayanan, Subramanian, Harder, Ross J., Cherukara, Mathew J.
Phase retrieval, the problem of recovering lost phase information from measured intensity alone, is an inverse problem that is widely faced in various imaging modalities ranging from astronomy to nanoscale imaging. The current process of phase recove
Externí odkaz:
http://arxiv.org/abs/2006.09441
Autor:
He, Wenbin, Wang, Junpeng, Guo, Hanqi, Wang, Ko-Chih, Shen, Han-Wei, Raj, Mukund, Nashed, Youssef S. G., Peterka, Tom
We propose InSituNet, a deep learning based surrogate model to support parameter space exploration for ensemble simulations that are visualized in situ. In situ visualization, generating visualizations at simulation time, is becoming prevalent in han
Externí odkaz:
http://arxiv.org/abs/1908.00407
Publikováno v:
Science Advances. 6, eaay3700 (2020)
Conventional tomographic reconstruction algorithms assume that one has obtained pure projection images, involving no within-specimen diffraction effects nor multiple scattering. Advances in x-ray nanotomography are leading towards the violation of th
Externí odkaz:
http://arxiv.org/abs/1905.10433
Autor:
Maddali, Siddharth, Park, Jun-Sang, Sharma, Hemant, Shastri, Sarvjit, Kenesei, Peter, Almer, Jonathan, Harder, Ross, Highland, Matthew J., Nashed, Youssef S. G., Hruszkewycz, Stephan O.
Publikováno v:
Phys. Rev. Applied 14, 024085 (2020)
We present proof-of-concept imaging measurements of a polycrystalline material that integrate the elements of conventional high-energy X-ray diffraction microscopy with coherent diffraction imaging techniques, and that can enable in-situ strain-sensi
Externí odkaz:
http://arxiv.org/abs/1903.11815
Autor:
Kandel, Saugat, Maddali, S., Allain, Marc, Hruszkewycz, Stephan O., Jacobsen, Chris, Nashed, Youssef S G
Coherent diffraction imaging methods enable imaging beyond lens-imposed resolution limits. In these methods, the object can be recovered by minimizing an error metric that quantifies the difference between diffraction patterns as observed, and those
Externí odkaz:
http://arxiv.org/abs/1902.03920
Publikováno v:
Scientific Reports (2018) 8:16520
Phase retrieval, or the process of recovering phase information in reciprocal space to reconstruct images from measured intensity alone, is the underlying basis to a variety of imaging applications including coherent diffraction imaging (CDI). Typica
Externí odkaz:
http://arxiv.org/abs/1806.03992
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